CN117729644B - Concurrent congestion prevention method and device applied to intelligent wearable equipment - Google Patents
Concurrent congestion prevention method and device applied to intelligent wearable equipment Download PDFInfo
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Abstract
The application discloses a concurrent congestion prevention method and device applied to intelligent wearable equipment, belonging to the technical field of communication, and comprising the following steps: determining target communication equipment corresponding to a target data packet of target intelligent wearable equipment; starting a channel activity detection function; determining an initial backoff index and an initial backoff frequency corresponding to the target data packet; detecting the channel state of a target channel to obtain a first state; executing a first backoff strategy when the first state is a busy state; detecting the channel state of the target channel again to obtain a second state; when the second state is a busy state, determining a current backoff index and a current backoff number corresponding to the target data packet, executing a second backoff strategy until the state of the target channel is detected to be an idle state, and transmitting the target data packet, or until the target data packet accords with a preset condition, discarding the target data packet; the embodiment of the application is applied to the communication process of the intelligent wearable equipment, so that signal collision and congestion are avoided.
Description
Technical Field
The application relates to the technical field of communication, in particular to a concurrent congestion prevention method and device applied to intelligent wearable equipment.
Background
In wireless networks, there is typically a transmission medium shared by multiple transmission nodes, which results in contention for the transmission medium, as messages sent simultaneously will collide. When a plurality of transmission nodes transmit signals in parallel, the signals are likely to arrive at the receiving end device in the same time period or at the same time point, and the receiving end device cannot receive the signals at a time, so that the problem of signal collision and congestion can be generated, and therefore, the problem of avoiding the signal collision and congestion needs to be solved.
Disclosure of Invention
The embodiment of the application provides a concurrent congestion prevention method and a concurrent congestion prevention device applied to intelligent wearable equipment, which are used for detecting the channel state of a channel through a channel activity detection function to obtain the actual state of the channel, executing a back-off strategy when the actual state of the channel is a busy state, and sending a data packet when the actual state of the channel is an idle state, so that signal collision and congestion are avoided.
In a first aspect, an embodiment of the present application provides a concurrent congestion prevention method applied to an intelligent wearable device, which is applied to a target intelligent wearable device in an information transmission network, where the information transmission network includes: the target smart wearable device, at least one communication device, the method comprising:
Determining a target communication device corresponding to a target data packet of the target intelligent wearable device; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device;
Starting a channel activity detection function;
Determining an initial back-off index and initial back-off times corresponding to the target data packet;
detecting the channel state of a target channel through the channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device;
Executing a first backoff strategy according to the initial backoff index and the initial backoff number when the first state is the busy state;
carrying out channel state detection on the target channel again to obtain a second state of the target channel;
And when the second state is the busy state, determining a current backoff index and a current backoff number corresponding to the target data packet, executing a second backoff strategy according to the current backoff index and the current backoff number until the state of the target channel is detected to be the idle state, and sending the target data packet, or until the backoff number of the target data packet and/or a target duration accords with a preset condition, and discarding the target data packet.
In a second aspect, an embodiment of the present application provides a concurrent congestion preventing apparatus applied to an intelligent wearable device, which is applied to a target intelligent wearable device in an information transmission network, where the information transmission network includes: the target smart wearable device, at least one communication device, the apparatus comprising: a determining unit, a detecting unit and an executing unit, wherein,
The determining unit is used for determining a target communication device corresponding to the target data packet of the target intelligent wearable device; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device; starting a channel activity detection function; determining an initial back-off index and initial back-off times corresponding to the target data packet;
The detection unit is used for detecting the channel state of a target channel through the channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device;
The executing unit is configured to execute a first backoff strategy according to the initial backoff index and the initial backoff number when the first state is the busy state;
The detection unit is further configured to perform the channel state detection on the target channel again to obtain a second state of the target channel;
The execution unit is further configured to determine a current backoff index and a current backoff number corresponding to the target data packet when the second state is the busy state, execute a second backoff policy according to the current backoff index and the current backoff number until the state of the target channel is detected to be the idle state, send the target data packet, or until the backoff number of the target data packet is detected, and/or the target duration accords with a preset condition, and discard the target data packet.
In a third aspect, the present application provides an electronic device, comprising: a processor, a memory for storing one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the first aspect of the application.
In a fourth aspect, the present application provides a computer storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute some or all of the steps as described in the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer storage medium storing a computer program operable to cause a computer to perform part or all of the steps as described in the first aspect of the application. The computer program product may be a software installation package.
It can be seen that the concurrent congestion preventing method applied to intelligent wearable equipment described in the embodiment of the present application is applied to target intelligent wearable equipment in an information transmission network, where the information transmission network includes: a target smart wearable device, at least one communication device, the method comprising: determining target communication equipment corresponding to a target data packet of target intelligent wearable equipment; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device; starting a channel activity detection function; determining an initial backoff index and an initial backoff frequency corresponding to the target data packet; detecting the channel state of a target channel through a channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device; executing a first backoff strategy according to the initial backoff index and the initial backoff times when the first state is a busy state; detecting the channel state of the target channel again to obtain a second state of the target channel; when the second state is a busy state, determining a current backoff index and a current backoff number corresponding to the target data packet, executing a second backoff strategy according to the current backoff index and the current backoff number until the state of the target channel is detected to be an idle state, transmitting the target data packet, or until the backoff number of the target data packet and/or the target duration accords with a preset condition, and discarding the target data packet; and the channel state detection function is used for detecting the channel state of the channel to obtain the actual state of the channel, when the actual state of the channel is in a busy state, a back-off strategy is executed, and when the actual state of the channel is in an idle state, a target data packet is sent, so that signal collision and congestion are avoided.
Drawings
In order to more clearly describe the embodiments of the present application or the technical solutions in the background art, the following description will describe the drawings that are required to be used in the embodiments of the present application or the background art.
Fig. 1 is a structural diagram of an information transmission network according to an embodiment of the present application;
Fig. 2 is a flowchart of a concurrent congestion prevention method applied to an intelligent wearable device, provided by an embodiment of the present application;
fig. 3 is a schematic diagram of a concurrent congestion prevention method applied to an intelligent wearable device according to an embodiment of the present application;
fig. 4 is a schematic diagram of another concurrent congestion prevention method applied to an intelligent wearable device according to an embodiment of the present application;
fig. 5 is a functional unit composition block diagram of a concurrent congestion preventing device applied to an intelligent wearable device according to an embodiment of the present application;
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The electronic device described in the embodiments of the present application may include a smart Phone (such as an Android Mobile Phone, an IOS Mobile Phone, a Windows Phone Mobile Phone, etc.), a tablet computer, a palm computer, a notebook computer, a video matrix, a monitoring platform, a Mobile internet device (Mobile INTERNET DEVICES, MID), a wearable device, etc., which are merely examples, but not exhaustive, including but not limited to the above devices, and of course, the above electronic device may also be a server, for example, a cloud server.
First, related terms related to the present application will be explained:
channel: a channel refers to a channel for transmitting information in a communication system, and is a medium for transmitting information between two parties of communication. It may be a physical medium (e.g., cable, fiber optic, radio waves, etc.), or a logical medium (e.g., network protocol, communication protocol, etc.).
Channel activity detection: channel activity Detection (CHANNEL ACTIVITY Detection, CAD) is a technique for detecting the presence or absence of signal transmission in a wireless communication channel. It is commonly used in wireless networks to determine whether a channel is occupied by other devices, thereby helping a network administrator to select the best channel for communication. CAD techniques are typically implemented based on received signal strength indicators or energy detection. When the CAD detects the presence of a signal in a channel, it sends a notification to the network administrator so that the administrator can take appropriate action, such as switching to another channel or adjusting network parameters to improve performance.
Symbol length: in wireless communications, symbol length generally refers to the duration or time interval occupied by a signal. It is a unit of time that represents the time occupied by a symbol in a wireless signal. The symbol length depends on the communication protocol and modulation scheme used. Different communication systems may use different symbol lengths. For example, in some wireless communication systems, the symbol length may be a few microseconds or tens of microseconds.
A backoff window: the backoff window refers to a time period called a backoff time in which a sender pauses transmitting data and tries to transmit again after waiting for a period of time in a computer network when a collision occurs. The back-off window is a time range in which data can be transmitted during the back-off time. Within the back-off window, the sender may attempt to retransmit the data and may continue to wait for a back-off time if a collision still occurs. The size of the backoff window is generally determined according to the load condition and transmission rate of the network to ensure the stability and reliability of the network.
Back-off index (Backoff Exponent, BE): in computer networks, and in particular ethernet networks, the backoff index is an algorithm that reduces the rate of a certain process by a factor of two by feedback to gradually find a suitable rate. It is typically used for scheduled retransmissions after collisions. Specifically, each sender will wait 0 to 0 after n collisions occurThe time between the gap times is randomly selected. For example, after the first collision, each sender waits 0 or 1 gap time; after the second collision, the waiting time is arbitrarily selected from 0 to 3 gap times; after the third collision, the waiting time will be arbitrarily chosen between 0 and 7 gap times, and so on.
Number of back-offs (Numberof Backoff, NB): the backoff number is actually the number of collisions occurring during the transmission of the data packet. The number of back-offs increases after each collision. As the number of collisions increases, the latency of the sender will have the potential to increase multiple times. This helps to reduce data collisions on the network, thereby improving the overall efficiency of the network.
Referring to fig. 1, fig. 1 is a block diagram of an information transmission network 100 according to an embodiment of the present application. As shown in fig. 1, the information transmission network 100 includes: a target smart wearable device 101, at least one communication device 102.
Wherein at least one communication device 102 may comprise a plurality of communication devices, for example, at least one communication device 102 shown in fig. 1 comprises: communication device 1, communication devices 2, … …, communication device n may comprise n communication devices.
The target intelligent wearable device 101 may be in communication connection with any one of the at least one communication device 102, that is, the target intelligent wearable device 101 may send a data packet to the at least one communication device 102, or may receive the data packet sent by the at least one communication device 102;
The target intelligent wearable device 101 can detect the channel state of the channel through the channel activity detection function to obtain the actual state of the channel, execute the back-off strategy when the actual state of the channel is in a busy state, and send the data packet when the actual state of the channel is in an idle state, so that signal collision and congestion are avoided.
Referring to fig. 2, a flowchart of a concurrent congestion prevention method applied to an intelligent wearable device is provided in the embodiment of fig. 2; the method can be applied to the target intelligent wearable device in the information transmission network, and the information transmission network comprises the following steps: the target smart wearable device, at least one communication device, the method includes, but is not limited to, the steps of:
S201, determining target communication equipment corresponding to a target data packet of the target intelligent wearable equipment; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device.
In the embodiment of the present application, the target data packet may include at least one of the following data: the network address data of the target smart wearable device, the network address data of the receiving device, protocol data, security data, etc., are not limited herein.
In a specific embodiment, the next data packet to be sent by the target smart wearable device, that is, the target data packet, may be determined first, and then, the target communication device may be found according to the network address data of the receiving device in the target data packet.
It should be explained that the target smart wearable device may comprise a radio frequency transceiver. The radio frequency transceiver may provide a channel activity detection function to detect wireless signals. The channel activity detection function can detect not only the preamble signal but also the transmission of the entire data packet, and thus the radio frequency transceiver can realize the function of "carrier sense" through the channel activity detection function.
S202, starting a channel activity detection function.
In an embodiment of the present application, the channel activity detection function is a technique for detecting whether or not there is signal transmission in a wireless communication channel. It is commonly used in wireless networks to determine whether a channel is occupied by other devices, thereby helping a network administrator to select the best channel for communication.
In a specific embodiment, the intelligent wearable device may start the channel activity detection function when the target data packet needs to be sent.
Optionally, in step S202, the starting the channel activity detection function may include the following steps:
21. Determining a target spread spectrum factor corresponding to the channel activity detection function and a target starting time length for starting the channel activity detection function by the target intelligent wearable device;
22. Determining a target detection duration of the channel activity detection function according to the target spread spectrum factor;
23. determining a target backoff time slot length corresponding to the channel activity detection function according to the target starting time length and the target detection time length;
24. and starting the channel activity detection function according to the target back-off time slot length.
In the embodiment of the application, the target spreading factor is a parameter for spreading the signal bandwidth, which can influence the accuracy and efficiency of channel activity detection; the target spreading factor indicates how many bits (chips) are used to represent an information symbol (bit), which may have a value to the power n of 2, for example, sf=2, 4, 8 … … 512, which is not limited herein.
In a specific embodiment, the target spreading factor may be determined according to a transmission speed required by the target intelligent wearable device, the higher the transmission speed is, the smaller the target spreading factor is, a mapping relation between a preset transmission speed and the spreading factor may be stored in advance, the target spreading factor corresponding to the transmission speed required by the target intelligent wearable device is determined based on the mapping relation, and then, when the channel activity detection function is just ready to be started, timing is performed through the target intelligent wearable device until the channel activity detection function is completely started, so as to obtain a target starting duration t1.
Further, the target detection duration of the channel activity detection function may be determined according to the target spreading factor, which is specifically as follows:
t2=(2SF+32)/BW；
Wherein t2 represents target detection duration, SF represents target spreading factor, and BW represents bandwidth of the target intelligent wearable device.
Then, determining the target backoff time slot length corresponding to the channel activity detection function according to the target start time length and the target detection time length, wherein the target time slot length is generally greater than the target detection time length of the channel activity detection function plus the target start time length of one state switching, and because t2 is generally between 1.75-1.9 symbol lengths, the time length of t1 is shorter than the time length of t2, and can be almost ignored, and the target time slot length can be 2 symbol lengths.
It should be explained that the symbol length refers to the duration or the occupied time interval of one symbol, which is a time unit for indicating the occupied time of one symbol in the wireless signal.
Further, the time slot length corresponding to the channel activity detection function may be set to the target backoff time slot length, so as to start the channel activity detection function.
Optionally, before the channel activity detection function is started, the method may further include the following steps:
executing a random back-off strategy once when the target intelligent wearable device generates the target data packet; and the backoff duration corresponding to the random backoff strategy is k target backoff time slot lengths, and k is a positive integer.
In the embodiment of the application, in order to cope with the burst traffic and prevent a large number of data packets from being sent at the same time, when the target data packet arrives at the target intelligent wearing equipment or when the target intelligent wearing equipment generates the target data packet, the target intelligent wearing equipment can directly carry out a random back-off strategy once, and the channel activity detection function is started after the random back-off strategy is finished, so that the burst traffic is dispersed into different time slots, and a large number of nodes are prevented from simultaneously starting transmission.
In a specific embodiment, when the target intelligent wearable device generates the target data packet, a random backoff strategy is executed, the backoff duration corresponding to the random backoff strategy is k target backoff slot lengths, where k is a random positive integer uniformly distributed in the obeying interval [0,2BE-1], and BE is the current backoff index of the target intelligent wearable device, specifically, the target intelligent wearable device keeps waiting in the backoff duration corresponding to the random backoff strategy, and the channel activity detection function is not started.
S203, determining an initial back-off index and an initial back-off frequency corresponding to the target data packet.
In the embodiment of the present application, the initial backoff index and the initial backoff number may be default values or values set by the user.
In a specific embodiment, the initial backoff index and the initial backoff number may be default values, specifically, the initial backoff index is 1, and the initial backoff number is 0; the target intelligent wearable device firstly acquires the target data packet, and then acquires the corresponding initial backoff index and initial backoff times.
S204, detecting the channel state of a target channel through the channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target smart wearable device and the target communication device.
In the embodiment of the application, the idle state is that no data packet is transmitted in the target channel or few data packets are transmitted, and the busy state is that a plurality of data packets are transmitted in the target channel.
In a specific embodiment, since the channel activity detection function is already started in the above steps, the channel state detection can be performed on the target channel by the channel activity detection function, so as to obtain the first state of the target channel. The first state may serve as a basis for subsequent steps.
Optionally, in step S204, the detecting, by the channel activity detecting function, the channel state of the target channel to obtain the first state of the target channel may include the following steps:
41. Monitoring the target channel to obtain a target detection signal of the target channel;
42. Determining a target signal strength of the target detection signal;
43. When the target signal intensity is greater than or equal to a preset signal intensity, determining that the first state is the busy state;
44. And when the target signal strength is smaller than the preset signal strength, determining that the first state is the idle state.
In the embodiment of the present application, the preset signal strength may be a default value or a value set by a user, and the preset signal strength is data that can be used to determine the state of the target channel.
In a specific embodiment, the channel activity detection function may monitor the target channel, specifically, may perform "carrier sensing" through a radio frequency transceiver in the target smart wearable device, that is, monitor the target channel, may receive a signal coming from the target channel, obtain a target detection signal, and then may determine the target signal strength by calculating the power of the target detection signal.
When the target signal intensity is greater than or equal to the preset signal intensity, the target intelligent wearable device can determine the busy state as a first state; and when the target signal strength is smaller than the preset signal strength, the idle state can be determined to be the first state by the target intelligent wearable device.
S205, when the first state is the busy state, executing a first backoff strategy according to the initial backoff index and the initial backoff times.
In the embodiment of the application, when the first state is in a busy state, it is indicated that the data packet is already transmitted in the target channel and the target data packet cannot be transmitted, and the first backoff strategy can be executed according to the initial backoff index and the initial backoff frequency.
Optionally, the executing the first backoff policy according to the initial backoff index and the initial backoff number may include the steps of:
51. when the backoff times of the target data packet and/or the target duration does not meet the preset condition, determining an initial backoff window corresponding to the initial backoff index;
52. During a window of the initial backoff window, not performing the channel state detection on the target channel;
53. after the window period of the initial back-off window, determining the magnitude relation between the initial back-off times and preset back-off times, and discarding the target data packet if the initial back-off times are larger than the preset back-off times;
54. If the initial back-off times are smaller than or equal to the preset back-off times, adding 1 to the initial back-off times to obtain first back-off times;
55. determining the magnitude relation between the initial backoff index and a preset backoff index, and if the initial backoff index is larger than the preset backoff index, maintaining the initial backoff index unchanged to obtain a first backoff index;
56. and if the initial back-off index is smaller than or equal to the preset back-off index, adding 1 to the initial back-off index to obtain the first back-off index.
In the embodiment of the application, the preset condition can be a default condition or a condition set by a user; the preset backoff number and the preset backoff index may be a default value or a value set by the user.
In a specific embodiment, the number of times of backoff of the target data packet may be determined first, and/or whether the target duration meets a preset condition, if yes, it is indicated that the target data packet has not been acted, the target data packet may be discarded, and the following steps are not performed any more; if the preset condition is not met, the following steps are continued, namely an initial backoff window corresponding to the initial backoff index is determined first, specifically, the value of the initial backoff index is determined first, and if the value of the initial backoff index is a, the value of the initial backoff window is a target backoff slot length, that is, the backoff duration corresponding to the initial backoff window is a target backoff slot length; during the window of the initial backoff window, no channel state detection is performed for the target channel.
For example, referring to fig. 3, fig. 3 is a schematic diagram of a concurrent congestion prevention method applied to an intelligent wearable device, as shown in fig. 3, when a target data packet arrives at the target intelligent wearable device, or when the target intelligent wearable device generates the target data packet, the target intelligent wearable device may start to perform a random backoff policy at the next time slot boundary, specifically, the target intelligent wearable device randomly selects a value from a section [0,2BE-1] as k, in fig. 3, k=2, where it is required to wait for 2 target backoff time slot lengths, after waiting is completed, a channel activity detection function is started to perform "interception" on a target channel, that is, "carrier interception" is performed, after a target detection duration is passed, a state detected in fig. 3 is an idle state, and the target data packet may be sent, and is sent to a target communication device through the target channel.
It should be noted that, when the target smart wearable device executes the random backoff policy, the target channel may be in a busy state, that is, in the case shown in fig. 3, a certain data packet in the target channel is being transmitted, or the target channel may be in an idle state, that is, no data packet in the target channel is being transmitted.
Further, after the initial backoff window is passed, determining a magnitude relation between the initial backoff number and the preset backoff number, and if the initial backoff number is greater than the preset backoff number, discarding the target data packet; if the initial backoff frequency is less than or equal to the preset backoff frequency, adding 1 to the initial backoff frequency to obtain a first backoff frequency; determining the magnitude relation between the initial backoff index and the preset backoff index, and if the initial backoff index is larger than the preset backoff index, maintaining the initial backoff index unchanged to obtain a first backoff index; and if the initial back-off index is smaller than or equal to the preset back-off index, adding 1 to the initial back-off index to obtain a first back-off index.
S206, carrying out channel state detection on the target channel again to obtain a second state of the target channel.
In the embodiment of the application, the target intelligent wearable device can re-perform channel state detection on the target channel through the channel activity detection function to obtain the second state of the target channel.
Optionally, in step S206, the re-performing the channel state detection on the target channel to obtain a second state of the target channel may include: and when the back-off times of the target data packet and/or the target duration does not meet the preset condition, detecting the channel state of the target channel to obtain the second state.
In the embodiment of the present application, the number of times of backoff of the target data packet may be determined first, and/or, if the target duration meets the preset condition, since the initial backoff index and the value of the initial backoff number have been changed in the step of executing the first backoff policy, in this step, the number of times of backoff of the target data packet is the first backoff number;
Then, the first back-off times of the target data packet can be judged first, and/or whether the target duration accords with a preset condition, if so, the target data packet is not acted, the target data packet can be discarded, and the following steps are not performed; if the channel activity detection function does not meet the preset condition, continuing the following steps, and detecting the channel state of the target channel through the channel activity detection function to obtain a second state.
Optionally, the method further comprises the following steps:
61. When the second state is the idle state, the target data packet is sent to the target communication equipment;
62. and executing the step of determining a current backoff index and a current backoff number corresponding to the target data packet when the second state is the busy state, and executing a second backoff strategy according to the current backoff index and the current backoff number.
In the embodiment of the application, when the second state is the idle state, the target intelligent wearable device can directly send the target data packet to the target communication device; when the second state is a busy state, the target smart wearable device may execute the step of determining the current backoff index and the current backoff number corresponding to the target data packet, and executing the second backoff policy according to the current backoff index and the current backoff number, that is, execute step S207.
S207, when the second state is the busy state, determining a current backoff index and a current backoff number corresponding to the target data packet, executing a second backoff strategy according to the current backoff index and the current backoff number until the state of the target channel is detected to be the idle state, and sending the target data packet, or until the backoff number of the target data packet and/or a target duration accords with a preset condition, and discarding the target data packet.
In the embodiment of the application, when the second state is a busy state, the target intelligent wearable device can determine the current backoff index and the current backoff number corresponding to the target data packet, that is, the first backoff index and the first backoff number.
And then, executing a second backoff strategy according to the current backoff index and the current backoff times until the state of the target channel is detected to be an idle state, and transmitting the target data packet, or until the backoff times of the target data packet and/or the target duration accords with a preset condition, and discarding the target data packet.
For example, in an illustration, please refer to fig. 4, fig. 4 is a schematic diagram of another concurrency congestion prevention method applied to an intelligent wearable device provided by the embodiment of the present application, as shown in fig. 4, when a target data packet arrives at the target intelligent wearable device, or when the target intelligent wearable device generates the target data packet, the target intelligent wearable device may start to perform a random backoff policy at the boundary of the next time slot, specifically, the target intelligent wearable device randomly selects a value from a section [0,2BE-1] as k, in fig. 4, k=2, that is, a random backoff index corresponding to the random backoff policy is 2, at this time, needs to wait for 2 target backoff slot lengths, after waiting for completion, a channel activity detection function is started to perform "listening" on a target channel, after a target detection duration is passed, a certain data packet in the target channel is detected to be being transmitted, then the first state of the target channel is determined to be a busy state, the target data packet cannot be sent, an initial backoff window corresponding to the initial backoff index needs to be waited for, specifically, since the random backoff index is 2, the initial backoff index is randomly selected from a section [0,2BE-1], the initial backoff index is randomly selected as k, the random backoff index is 1, and after the first time slot length is 3 is required to be 3, and a second time slot length is required to be waited for completion, and a second time slot length is required to be 3, and then a target channel is required to be detected to be 3, and transmitting the target data packet to the target communication equipment through the target channel.
It should be noted that, if the second state is not an idle state, that is, the second state is a busy state, the target smart wearable device may not send the target data packet, and the second backoff policy needs to be executed until the state of the target channel is detected to be an idle state, and the target data packet is sent, or until the backoff number of the target data packet and/or the target duration meets the preset condition, and the target data packet is discarded.
It can be seen that the concurrent congestion preventing method applied to intelligent wearable equipment described in the embodiment of the present application is applied to target intelligent wearable equipment in an information transmission network, where the information transmission network includes: a target smart wearable device, at least one communication device, the method comprising: determining target communication equipment corresponding to a target data packet of target intelligent wearable equipment; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device; starting a channel activity detection function; determining an initial backoff index and an initial backoff frequency corresponding to the target data packet; detecting the channel state of a target channel through a channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device; executing a first backoff strategy according to the initial backoff index and the initial backoff times when the first state is a busy state; detecting the channel state of the target channel again to obtain a second state of the target channel; when the second state is a busy state, determining a current backoff index and a current backoff number corresponding to the target data packet, executing a second backoff strategy according to the current backoff index and the current backoff number until the state of the target channel is detected to be an idle state, transmitting the target data packet, or until the backoff number of the target data packet and/or the target duration accords with a preset condition, and discarding the target data packet; and the channel state detection function is used for detecting the channel state of the channel to obtain the actual state of the channel, when the actual state of the channel is in a busy state, a back-off strategy is executed, and when the actual state of the channel is in an idle state, a target data packet is sent, so that signal collision and congestion are avoided.
Referring to fig. 5, fig. 5 is a functional unit block diagram of a concurrent congestion preventing apparatus 500 applied to an intelligent wearable device according to an embodiment of the present application; target intelligent wearable device applied to information transmission network, wherein the information transmission network comprises: the target smart wearable device, at least one communication device, and the concurrency congestion prevention apparatus 500 applied to the smart wearable device includes: a determination unit 501, a detection unit 502, an execution unit 503, wherein,
The determining unit 501 is configured to determine a target communication device corresponding to a target data packet of the target smart wearable device; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device; starting a channel activity detection function; determining an initial back-off index and initial back-off times corresponding to the target data packet;
the detecting unit 502 is configured to perform channel state detection on a target channel through the channel activity detecting function, so as to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device;
The executing unit 503 is configured to execute a first backoff policy according to the initial backoff index and the initial backoff number when the first state is the busy state;
the detecting unit 502 is further configured to re-perform the channel state detection on the target channel to obtain a second state of the target channel;
The executing unit 503 is further configured to determine, when the second state is the busy state, a current backoff index and a current backoff number corresponding to the target data packet, execute a second backoff policy according to the current backoff index and the current backoff number until the state of the target channel is detected to be the idle state, send the target data packet, or until the backoff number of the target data packet is reached, and/or the target duration meets a preset condition, and discard the target data packet.
Optionally, in terms of the start channel activity detection function, the determining unit 501 is specifically configured to:
determining a target spread spectrum factor corresponding to the channel activity detection function and a target starting time length for starting the channel activity detection function by the target intelligent wearable device;
determining a target detection duration of the channel activity detection function according to the target spread spectrum factor;
determining a target backoff time slot length corresponding to the channel activity detection function according to the target starting time length and the target detection time length;
and starting the channel activity detection function according to the target back-off time slot length.
Optionally, before the channel activity detection function is started, the concurrent congestion prevention apparatus 500 applied to the smart wearable device is further specifically configured to:
executing a random back-off strategy once when the target intelligent wearable device generates the target data packet; and the backoff duration corresponding to the random backoff strategy is k target backoff time slot lengths, and k is a positive integer.
Optionally, in the aspect that the channel state detection is performed on the target channel by using the channel activity detection function to obtain the first state of the target channel, the detection unit 502 is specifically configured to:
Monitoring the target channel to obtain a target detection signal of the target channel;
determining a target signal strength of the target detection signal;
When the target signal intensity is greater than or equal to a preset signal intensity, determining that the first state is the busy state;
And when the target signal strength is smaller than the preset signal strength, determining that the first state is the idle state.
Optionally, in the performing the first backoff policy according to the initial backoff index and the initial backoff number, the performing unit 503 is specifically configured to:
when the backoff times of the target data packet and/or the target duration does not meet the preset condition, determining an initial backoff window corresponding to the initial backoff index;
during a window of the initial backoff window, not performing the channel state detection on the target channel;
after the window period of the initial backoff window, determining the magnitude relation between the initial backoff number and a preset backoff number, and discarding the target data packet if the initial backoff number is greater than the preset backoff number;
if the initial back-off times are smaller than or equal to the preset back-off times, adding 1 to the initial back-off times to obtain first back-off times;
Determining the magnitude relation between the initial backoff index and a preset backoff index, and if the initial backoff index is larger than the preset backoff index, maintaining the initial backoff index unchanged to obtain a first backoff index;
and if the initial back-off index is smaller than or equal to the preset back-off index, adding 1 to the initial back-off index to obtain the first back-off index.
Optionally, in the aspect of re-performing the channel state detection on the target channel to obtain the second state of the target channel, the detection unit 502 is further specifically configured to:
And when the back-off times of the target data packet and/or the target duration does not meet the preset condition, detecting the channel state of the target channel to obtain the second state.
Optionally, the detecting unit 502 is further specifically configured to:
When the second state is the idle state, the target data packet is sent to the target communication equipment;
and executing the step of determining a current backoff index and a current backoff number corresponding to the target data packet when the second state is the busy state, and executing a second backoff strategy according to the current backoff index and the current backoff number.
In a specific implementation, the concurrent congestion preventing apparatus 500 applied to the intelligent wearable device described in the embodiment of the present application may also perform other implementations described in the foregoing embodiment of the present application, which are not described herein again.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where the electronic device includes a processor, a memory, a communication interface, and one or more programs, and the processor, the memory, and the communication interface are connected to each other through a bus. The electronic device may be applied to a target smart wearable device in an information transmission network comprising: the target intelligent wearable device and at least one communication device; the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the program includes instructions for:
Determining a target communication device corresponding to a target data packet of the target intelligent wearable device; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device;
Starting a channel activity detection function;
Determining an initial back-off index and initial back-off times corresponding to the target data packet;
detecting the channel state of a target channel through the channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device;
Executing a first backoff strategy according to the initial backoff index and the initial backoff number when the first state is the busy state;
carrying out channel state detection on the target channel again to obtain a second state of the target channel;
And when the second state is the busy state, determining a current backoff index and a current backoff number corresponding to the target data packet, executing a second backoff strategy according to the current backoff index and the current backoff number until the state of the target channel is detected to be the idle state, and sending the target data packet, or until the backoff number of the target data packet and/or a target duration accords with a preset condition, and discarding the target data packet.
Optionally, in the aspect of the starting channel activity detection function, the above program further includes instructions for performing the following steps:
determining a target spread spectrum factor corresponding to the channel activity detection function and a target starting time length for starting the channel activity detection function by the target intelligent wearable device;
determining a target detection duration of the channel activity detection function according to the target spread spectrum factor;
determining a target backoff time slot length corresponding to the channel activity detection function according to the target starting time length and the target detection time length;
and starting the channel activity detection function according to the target back-off time slot length.
Optionally, before the starting the channel activity detection function, the above program further comprises instructions for performing the following steps:
executing a random back-off strategy once when the target intelligent wearable device generates the target data packet; and the backoff duration corresponding to the random backoff strategy is k target backoff time slot lengths, and k is a positive integer.
Optionally, in the aspect that the channel state detection is performed on the target channel by the channel activity detection function to obtain the first state of the target channel, the program further includes instructions for performing the following steps:
Monitoring the target channel to obtain a target detection signal of the target channel;
determining a target signal strength of the target detection signal;
When the target signal intensity is greater than or equal to a preset signal intensity, determining that the first state is the busy state;
And when the target signal strength is smaller than the preset signal strength, determining that the first state is the idle state.
Optionally, in the performing the first backoff policy according to the initial backoff index and the initial backoff number, the above procedure further comprises instructions for performing the steps of:
when the backoff times of the target data packet and/or the target duration does not meet the preset condition, determining an initial backoff window corresponding to the initial backoff index;
during a window of the initial backoff window, not performing the channel state detection on the target channel;
after the window period of the initial backoff window, determining the magnitude relation between the initial backoff number and a preset backoff number, and discarding the target data packet if the initial backoff number is greater than the preset backoff number;
if the initial back-off times are smaller than or equal to the preset back-off times, adding 1 to the initial back-off times to obtain first back-off times;
Determining the magnitude relation between the initial backoff index and a preset backoff index, and if the initial backoff index is larger than the preset backoff index, maintaining the initial backoff index unchanged to obtain a first backoff index;
and if the initial back-off index is smaller than or equal to the preset back-off index, adding 1 to the initial back-off index to obtain the first back-off index.
Optionally, in the aspect of re-performing the channel state detection on the target channel to obtain the second state of the target channel, the program further includes instructions for performing the following steps:
And when the back-off times of the target data packet and/or the target duration does not meet the preset condition, detecting the channel state of the target channel to obtain the second state.
Optionally, the above program further comprises instructions for performing the steps of:
When the second state is the idle state, the target data packet is sent to the target communication equipment;
and executing the step of determining a current backoff index and a current backoff number corresponding to the target data packet when the second state is the busy state, and executing a second backoff strategy according to the current backoff index and the current backoff number.
The embodiment of the application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising an electronic device.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (9)
1. The concurrent congestion prevention method applied to the intelligent wearable device is characterized by being applied to a target intelligent wearable device in an information transmission network, wherein the information transmission network comprises: the target smart wearable device, at least one communication device, the method comprising:
Determining a target communication device corresponding to a target data packet of the target intelligent wearable device; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device;
Starting a channel activity detection function;
Determining an initial back-off index and initial back-off times corresponding to the target data packet;
detecting the channel state of a target channel through the channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device;
Executing a first backoff strategy according to the initial backoff index and the initial backoff number when the first state is the busy state;
carrying out channel state detection on the target channel again to obtain a second state of the target channel;
When the second state is the busy state, determining a current backoff index and a current backoff number corresponding to the target data packet, executing a second backoff strategy according to the current backoff index and the current backoff number until the state of the target channel is detected to be the idle state, and sending the target data packet, or until the backoff number of the target data packet and/or a target duration accords with a preset condition, and discarding the target data packet;
wherein the executing a first backoff strategy according to the initial backoff index and the initial backoff number comprises:
when the backoff times of the target data packet and/or the target duration does not meet the preset condition, determining an initial backoff window corresponding to the initial backoff index;
during a window of the initial backoff window, not performing the channel state detection on the target channel;
after the window period of the initial backoff window, determining the magnitude relation between the initial backoff number and a preset backoff number, and discarding the target data packet if the initial backoff number is greater than the preset backoff number;
if the initial back-off times are smaller than or equal to the preset back-off times, adding 1 to the initial back-off times to obtain first back-off times;
Determining the magnitude relation between the initial backoff index and a preset backoff index, and if the initial backoff index is larger than the preset backoff index, maintaining the initial backoff index unchanged to obtain a first backoff index;
and if the initial back-off index is smaller than or equal to the preset back-off index, adding 1 to the initial back-off index to obtain the first back-off index.
2. The method of claim 1, wherein the enabling of the channel activity detection function comprises:
determining a target spread spectrum factor corresponding to the channel activity detection function and a target starting time length for starting the channel activity detection function by the target intelligent wearable device;
determining a target detection duration of the channel activity detection function according to the target spread spectrum factor;
determining a target backoff time slot length corresponding to the channel activity detection function according to the target starting time length and the target detection time length;
and starting the channel activity detection function according to the target back-off time slot length.
3. The method of claim 2, wherein prior to said activating a channel activity detection function, the method further comprises:
executing a random back-off strategy once when the target intelligent wearable device generates the target data packet; and the backoff duration corresponding to the random backoff strategy is k target backoff time slot lengths, and k is a positive integer.
4. A method according to any one of claims 1-3, wherein said performing channel state detection on a target channel by said channel activity detection function to obtain a first state of said target channel comprises:
Monitoring the target channel to obtain a target detection signal of the target channel;
determining a target signal strength of the target detection signal;
When the target signal intensity is greater than or equal to a preset signal intensity, determining that the first state is the busy state;
And when the target signal strength is smaller than the preset signal strength, determining that the first state is the idle state.
5. A method according to any one of claims 1-3, wherein said re-performing said channel state detection on said target channel to obtain a second state of said target channel comprises:
And when the back-off times of the target data packet and/or the target duration does not meet the preset condition, detecting the channel state of the target channel to obtain the second state.
6. The method of claim 5, wherein the method further comprises:
When the second state is the idle state, the target data packet is sent to the target communication equipment;
and executing the step of determining a current backoff index and a current backoff number corresponding to the target data packet when the second state is the busy state, and executing a second backoff strategy according to the current backoff index and the current backoff number.
7. The concurrent congestion preventing device applied to the intelligent wearable device is characterized by being applied to a target intelligent wearable device in an information transmission network, wherein the information transmission network comprises: the target smart wearable device, at least one communication device, the apparatus comprising: a determining unit, a detecting unit and an executing unit, wherein,
The determining unit is used for determining a target communication device corresponding to the target data packet of the target intelligent wearable device; the target data packet is the next data packet which is ready to be sent by the target intelligent wearable device; the target communication device is any one of the at least one communication device; starting a channel activity detection function; determining an initial back-off index and initial back-off times corresponding to the target data packet;
The detection unit is used for detecting the channel state of a target channel through the channel activity detection function to obtain a first state of the target channel; the state of the target channel is an idle state or a busy state; the target channel is a communication channel between the target intelligent wearable device and the target communication device;
The executing unit is configured to execute a first backoff strategy according to the initial backoff index and the initial backoff number when the first state is the busy state;
The detection unit is further configured to perform the channel state detection on the target channel again to obtain a second state of the target channel;
The execution unit is further configured to determine a current backoff index and a current backoff number corresponding to the target data packet when the second state is the busy state, execute a second backoff policy according to the current backoff index and the current backoff number until the state of the target channel is detected to be the idle state, send the target data packet, or until the backoff number of the target data packet is detected, and/or the target duration accords with a preset condition, and discard the target data packet;
Wherein, in the aspect of executing the first backoff strategy according to the initial backoff index and the initial backoff number, the execution unit is specifically configured to:
when the backoff times of the target data packet and/or the target duration does not meet the preset condition, determining an initial backoff window corresponding to the initial backoff index;
during a window of the initial backoff window, not performing the channel state detection on the target channel;
after the window period of the initial backoff window, determining the magnitude relation between the initial backoff number and a preset backoff number, and discarding the target data packet if the initial backoff number is greater than the preset backoff number;
if the initial back-off times are smaller than or equal to the preset back-off times, adding 1 to the initial back-off times to obtain first back-off times;
Determining the magnitude relation between the initial backoff index and a preset backoff index, and if the initial backoff index is larger than the preset backoff index, maintaining the initial backoff index unchanged to obtain a first backoff index;
and if the initial back-off index is smaller than or equal to the preset back-off index, adding 1 to the initial back-off index to obtain the first back-off index.
8. An electronic device, comprising: a processor, a memory for storing one or more programs and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-6.
9. A computer storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-6.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104703288A (en) * | 2013-12-05 | 2015-06-10 | 上海无线通信研究中心 | Transmission method based on quasi-random back-off strategy in wireless distributed network |
| CN109064729A (en) * | 2018-10-17 | 2018-12-21 | 何世容 | A kind of kilowatt meter reading-out system and meter register method based on wireless sensor network |
| CN109495957A (en) * | 2018-12-14 | 2019-03-19 | 重庆邮电大学 | A kind of adaptive asynchronous wireless awakening method based on secondary collision probabilistic model |
| CN114859852A (en) * | 2022-04-15 | 2022-08-05 | 中国电子科技集团公司第十研究所 | Control method for aircraft measurement and control access, electronic equipment and storage medium |
| CN116489813A (en) * | 2023-04-06 | 2023-07-25 | 广西电网有限责任公司 | Self-adaptive conflict back-off method and system suitable for Lora-Mesh network |
| CN116569647A (en) * | 2021-10-09 | 2023-08-08 | 北京小米移动软件有限公司 | Communication connection control method and device, electronic equipment and storage medium |
-
2024
- 2024-02-07 CN CN202410174450.6A patent/CN117729644B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104703288A (en) * | 2013-12-05 | 2015-06-10 | 上海无线通信研究中心 | Transmission method based on quasi-random back-off strategy in wireless distributed network |
| CN109064729A (en) * | 2018-10-17 | 2018-12-21 | 何世容 | A kind of kilowatt meter reading-out system and meter register method based on wireless sensor network |
| CN109495957A (en) * | 2018-12-14 | 2019-03-19 | 重庆邮电大学 | A kind of adaptive asynchronous wireless awakening method based on secondary collision probabilistic model |
| CN116569647A (en) * | 2021-10-09 | 2023-08-08 | 北京小米移动软件有限公司 | Communication connection control method and device, electronic equipment and storage medium |
| CN114859852A (en) * | 2022-04-15 | 2022-08-05 | 中国电子科技集团公司第十研究所 | Control method for aircraft measurement and control access, electronic equipment and storage medium |
| CN116489813A (en) * | 2023-04-06 | 2023-07-25 | 广西电网有限责任公司 | Self-adaptive conflict back-off method and system suitable for Lora-Mesh network |
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|---|---|
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