WO2021093743A1

WO2021093743A1 - Data communication method and related device

Info

Publication number: WO2021093743A1
Application number: PCT/CN2020/127901
Authority: WO
Inventors: 邱垂统; 于峰崎
Original assignee: 中国科学院深圳先进技术研究院
Priority date: 2019-11-11
Filing date: 2020-11-10
Publication date: 2021-05-20
Also published as: CN112788558A; CN112788558B

Abstract

Disclosed are a data communication method and a related device. The optimal sleep cycle of a lower node when same satisfies conditions regarding the shortest node response time and the lowest node power consumption is determined by means of historical sending data of an upper node, and according to the optimal sleep cycle of the lower node, data is then sent to the lower node when the lower node is in an awake state, wherein the optimal sleep cycle that is determined by using the historical sending data better matches an actual communication situation of a communication network, thereby ensuring the accuracy of the optimal sleep cycle. In addition, according to the optimal sleep cycle of the lower node, the data is sent to the lower node when the lower node is in the awake state, such that the lower node making a communication response in a timely manner can be ensured, and a communication response time is shortened; and since a sleep cycle is set, the lower node regularly enters a dormancy state, such that the power consumption of the lower node can be reduced.

Description

Data communication method and related equipment

Technical field

The present invention relates to the field of communication technology, in particular to a data communication method, a data communication device, a terminal device and a computer storage medium.

Background technique

Wireless Sensor Networks (Wireless Sensor Networks, WSN) is a distributed sensor network, the end of which is a sensor that can perceive and inspect the outside world. The sensors in WSN communicate wirelessly, so the network settings are flexible, the location of the device can be changed at any time, and it can also be connected to the Internet in wired or wireless mode. A multi-hop self-organizing network formed by wireless communication. Generally, wireless sensor networks include sensor nodes, concentrators, and upper computers. Among them, the sensor node can transmit the collected data to the upper computer through the concentrator for processing, and can also receive the data sent by the upper computer through the concentrator.

In the prior art, sensor nodes usually adopt periodic listening and sleeping methods, periodically start to listen, and enter a dormant state after being started for a period of time; after the node wakes up, it listens to the channel state to determine whether a receiving concentrator is needed. The sent data, this way of receiving downlink data can reduce the working power consumption of the node, but the node cannot respond to the data sent by the concentrator in time and cannot guarantee the real-time communication.

Summary of the invention

The embodiment of the present invention provides a data communication method and related equipment, which can not only shorten the communication response time of the lower-level node, but also reduce the power consumption of the lower-level node.

On the one hand, an embodiment of the present invention provides a data communication method, which is applied to a communication network including an upper-level node and at least one lower-level node, and a communication connection is established between the upper-level node and the lower-level node, and the method includes:

According to the historical sending data of the upper-level node, determine the optimal sleep period of the lower-level node that satisfies the conditions of the shortest node response time and the lowest node power consumption;

Controlling the subordinate node to periodically start and periodically sleep according to the optimal sleep period;

Sending data to the lower-level node when the lower-level node is in the startup state.

Optionally, the determining the optimal sleep period of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption according to the historical sending data of the upper-level node includes:

Divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

Define the sleep period of the time period as a sub-sleep period, and determine the response time expectation of the node according to the transmission probabilities of the N time periods and the N sub-sleep periods of the time period;

Determine the all-day listening power consumption expectation of the lower-level node according to the sub-sleep periods of the N time periods and the single listening power consumption;

Establishing a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

Calculate the objective balance function when the function value is the smallest, the sub-sleep period set of the lower node, the sub-sleep period set includes sub-sleep periods of N time periods, and the sub-sleep period set is taken as the optimal Sleep cycle.

According to the transmission probabilities of the N time periods, the sub-sleep periods of the N time periods, and the power consumption of a single listening, it is determined that after the first preset number of times of data is received throughout the day, the lower node will Under the condition that the sub-sleep period of the remaining time period is set to the preset maximum sub-sleep period, the node of the lower-level node listens to the power consumption expectation throughout the day;

Calculate the objective balance function when the function value is the smallest, the sub-sleep period set of the lower node, the sub-sleep period set includes sub-sleep periods of N time periods, and the sub-sleep period set is taken as the optimal The sleep period, wherein the preset maximum sub-sleep period is greater than the maximum value in the set of sub-sleep periods.

Optionally, after sending data to the lower-level node in the startup state of the lower-level node, the method further includes:

After the lower-level node receives the first preset number of times of data throughout the day, select a second preset number of time periods from the remaining time periods of the day of the lower-level node as the adjustment time period, and the second preset number Less than the number of time periods remaining on the day;

Setting the sleep period of the adjustment time period as the preset maximum sub-sleep period;

During the adjustment time period, the lower-level node is controlled to periodically start and periodically sleep according to the preset maximum sub-sleep period.

After the lower-level node receives the first preset number of times of data throughout the day, setting the sub-sleep period of the remaining time period of the day of the lower-level node as the preset maximum sub-sleep period;

During the remaining time period of the day of the lower-level node, controlling the lower-level node to periodically start and periodically sleep according to the preset maximum sub-sleep period.

On the other hand, an embodiment of the present invention provides a data communication device, which is applied to a communication network including an upper-level node and at least one lower-level node, a communication connection is established between the upper-level node and the lower-level node, and the device includes :

A cycle determining module, configured to determine the optimal sleep cycle of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption according to the historical sending data of the upper-level node;

A node control module, configured to control the lower-level node to periodically start and periodically sleep according to the optimal sleep period;

The data sending module is used to send data to the lower-level node when the lower-level node is in the starting state.

Optionally, the period determining module includes:

The first probability determination submodule is configured to divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

The first time expectation acquisition sub-module is used to define the sleep period of the time period as a sub-sleep period, and determine the response time expectation of the node according to the transmission probability of the N time periods and the sub-sleep period of the N time periods;

The first power consumption expectation acquisition sub-module is configured to determine the all-day listening power consumption expectation of the lower-level node according to the N sub-sleep periods of the time period and the single listening power consumption;

The first function establishment sub-module is configured to establish a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

The first period calculation sub-module is used to calculate the sub-sleep period set of the lower node when the objective balance function is the smallest, the sub-sleep period set includes sub-sleep periods of N time periods, and the A set of sub-sleep cycles is used as the optimal sleep cycle.

Optionally, the period determining module includes:

The second probability determination submodule is configured to divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

The second time expectation acquisition sub-module is used to define the sleep period of the time period as a sub-sleep period, and determine the node response time expectation according to the transmission probability of the N time periods and the N sub-sleep periods of the time period;

The second power consumption expectation acquisition sub-module is configured to determine to receive the first preset throughout the day according to the transmission probability of the N time periods, the sub-sleep periods of the N time periods, and the single listening power consumption After a number of times of data, the sub-sleep period of the remaining time period of the lower-level node is set to the preset maximum sub-sleep period, and the node of the lower-level node listens to power consumption expectations throughout the day;

The second function establishment sub-module is used to establish a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

The second period calculation sub-module is used to calculate the sub-sleep period set of the lower-level node when the objective balance function is the smallest, the sub-sleep period set includes sub-sleep periods of N time periods, and the A set of sub-sleep periods is used as the optimal sleep period, wherein the preset maximum sub-sleep period is greater than the maximum value in the set of sub-sleep periods.

On the other hand, an embodiment of the present invention provides a terminal device, including: a processor and a memory;

The processor is connected to a memory, where the memory is used to store program code, and the processor is used to call the program code to execute the data communication method.

On the other hand, an embodiment of the present invention provides a computer storage medium, the computer storage medium stores a computer program, the computer program includes program instructions, the program instructions, when executed by a processor, execute the data Communication method.

In the embodiment of the present invention, through the historical data sent by the upper-level node, the optimal sleep period of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption is determined, and then the optimal sleep period of the lower-level node is determined in the lower-level node's When waking up, send data to subordinate nodes; among them, the optimal sleep period determined by historical transmission data is more suitable for the actual communication situation of the communication network, which can ensure the accuracy of the optimal sleep period; in addition, according to the optimal sleep period of subordinate nodes Cycle, when the lower-level node is in the awake state, sending data to the lower-level node can ensure that the lower-level node communicates in a timely manner and shorten the communication response time. Because the sleep cycle is set, the lower-level node enters the sleep state regularly, which can reduce the lower-level node's Power consumption.

Description of the drawings

In order to explain the technical solutions of the embodiments of the present invention more clearly, the following will briefly introduce the drawings used in the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. Ordinary technicians can obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic diagram of a scene of a data communication method provided by an embodiment of the present invention;

2 is a schematic flowchart of a data communication method provided by an embodiment of the present invention;

FIG. 3 is a schematic flowchart of a data communication method provided by an embodiment of the present invention;

4 is a schematic flowchart of a data communication method provided by an embodiment of the present invention;

FIG. 5 is a schematic flowchart of a data communication method provided by an embodiment of the present invention;

FIG. 6 is a schematic flowchart of a data communication method provided by an embodiment of the present invention;

FIG. 7 is a schematic structural diagram of a data communication device provided by an embodiment of the present invention;

FIG. 8 is a schematic structural diagram of a data communication device provided by an embodiment of the present invention;

FIG. 9 is a schematic structural diagram of a data communication device provided by an embodiment of the present invention;

FIG. 10 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

It should be understood that the terms "first", "second", etc. in the specification, claims, and drawings of the present application are used to distinguish different objects, rather than to describe a specific sequence. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent to these processes, methods, products or equipment.

The data communication method of the present invention can be applied to a data communication network including an upper-level node and at least one lower-level node. At least one may be one or more than two. A wired or wireless communication connection can be established between the upper-level node and the lower-level node. The communication methods include Bluetooth, WiFi, ZigBee, etc. The data communication network can be a one-to-many network structure such as a sensor network and an Internet of Things network.

Please refer to Figure 1. Figure 1 is a schematic diagram of a data communication method provided by an embodiment of the present invention; taking the data communication method applied to a wireless sensor network as an example, the wireless sensor network includes n sensor nodes (such as sensor node 1, sensor Node 2 ... sensor node n) and the host computer 11. Generally, the sensor node communicates with the host computer 11 through a concentrator. The following takes as an example to obtain the optimal sleep period when the sensor node 1 meets the conditions of the shortest response time and the lowest node power consumption:

First, the whole day is divided into 24 time periods, and then based on the historical data sent by the wireless sensor network or the existing engineering experience, the probability distribution of the upper-level node sending data to the sensor node 1 in each time period (that is, each time period The sending probability of each sensor node can be obtained according to the data sending record of the host computer 11. Then define the sleep period of each time period as a sub-sleep period, and determine the node response time expectation of sensor node 1 according to the transmission probability of each time period and the sub-sleep period.

Next, the node power consumption takes only the listening power consumption as an example, and the all-day listening power consumption expectation of the sensor node 1 is determined according to the sub-sleep period of each time period and the single listening power consumption of the node. The specific values of the corresponding first preset weight and second preset weight are determined according to the degree of emphasis on node response time and node power consumption. In order to achieve a balance between transmission real-time performance and transmission power consumption, according to the node response time expectations and the first A preset weight, a node's all-day listening power consumption expectation, and a second preset weight establish the objective balance function. At this time, the problem is transformed into the specific value of the sub-sleep period corresponding to the minimum value of the objective balance function, which is determined by 24 The set of sub-sleep periods constituted by the sub-sleep periods corresponding to each time period is used as the optimal sleep period of the sensor node 1.

On the host computer 11, calculate the optimal sleep period of each sensor node according to the above method, and then send the corresponding optimal sleep period to the corresponding sensor node. Specifically, after obtaining the optimal sleep period of each sensor node After the sensor node is powered on, the sensor node sends a network data packet to the upper computer 11, and the upper computer 11 replies to the node with a confirmation frame, where the confirmation frame piggybacks the short address assigned to the sensor node, time synchronization information, and the optimal sleep of the node Cycle information, the sensor node can synchronize with the time of the host computer according to the time synchronization information, and then set the sleep cycle of the node to the optimal sleep cycle received, and the sensor node starts with the corresponding sub-sleep cycle in each time period. And hibernation. When the host computer 11 needs to send data to the sensor node 1, according to the optimal sleep cycle information of the sensor node, the data is sent to the sensor node in the startup state of the node. Realize the real-time communication of sensor network and low power consumption of nodes.

The upper computer 11 can periodically calculate the optimal sleep period of the node according to the historical record of the sent data, and periodically send it to the sensor node to change the sleep period of the node.

In order to further reduce the power consumption of the node, the sensor node is set to adjust the sleep period of the subsequent time period of the day to the preset maximum sub-sleep period after receiving the first preset number of times (for example, 1 time) of data. The maximum sub-sleep period is the longest response time that the user can accept; at this time, the calculation method of the sub-sleep period set is different from the above method. The difference is that when the computing node listens to the power consumption expectations throughout the day, it needs to be considered In the above sleep cycle adjustment situation, according to the transmission probability and sub-sleep period of 24 time periods, and the power consumption of a single listening, it is calculated that after the first preset number of data is received throughout the day, the child of the node in the remaining time period of the day is calculated. Under the condition that the sleep cycle is set to the preset maximum sub-sleep cycle, the node of the node listens to the power consumption expectations throughout the day; then, construct the objective balance function according to the same steps as the above method, and set the sub-sleep cycle in the sub-sleep cycle set Under the condition that both are smaller than the preset maximum sub-sleep period, the sub-sleep period set is calculated.

In actual communication, the sensor node uses the newly calculated sub-sleep period set to control the start and sleep of the node, and after receiving the first preset number of data, set the sub-sleep period of the subsequent time period of the node to the preset The maximum sub-sleep period, the specific value of the first preset number can be set according to the actual data transmission situation of the sensor network. For example, in a day, the upper computer only sends data to the sensor node once, then the first preset number is set to 1. , And so on.

By using the method of the present invention, a sufficiently long listening time of the node can be maintained in one cycle, realizing the balance between the real-time performance and power consumption of the wireless sensor network downlink data communication, and greatly reducing the node without sacrificing or sacrificing power consumption. The response time, and the data transmission is stable and reliable.

Refer to Figure 2, which is a schematic flowchart of a data communication method according to an embodiment of the present invention; the data communication method is applied to a communication network including an upper-level node and at least one lower-level node, the upper-level node and the lower-level node A communication connection is established between them, and the method includes:

Step S201: According to the historical sending data of the upper-level node, determine the optimal sleep period of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption;

Specifically, it is possible to determine the optimal sleep period of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption according to the historical sending data records about the lower-level node stored on the upper-level node. It may also be based on the engineering experience data of the communication network to determine the optimal sleep period. The determination method is the same as that of the historical transmission data.

Step S202, controlling the lower-level node to periodically start and periodically sleep according to the optimal sleep period;

Specifically, the upper-level node issues the optimal sleep period to the lower-level node to control the lower-level node to start and sleep according to the optimal sleep period.

Step S203: Send data to the lower-level node when the lower-level node is in the startup state.

Specifically, the upper-level node sends data to the lower-level node when the lower-level node is in the startup state according to the optimal sleep period of the lower-level node.

The method of the embodiment of the present invention uses the optimal sleep period determined by historical transmission data to better match the actual communication conditions of the communication network, and can ensure the accuracy of the optimal sleep period; in addition, according to the optimal sleep period of the lower node, When the node is in the awake state, sending data to the subordinate node can ensure that the subordinate node communicates in a timely manner and shorten the communication response time. Because the sleep period is set, the subordinate node enters the sleep state regularly, which can reduce the power consumption of the subordinate node.

Further, in an embodiment, refer to FIG. 3, which is a schematic flowchart of a data communication method provided by an embodiment of the present invention; the step S201 includes:

Step S301: Divide the entire day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

Specifically, the specific value of the preset time interval can be set according to specific needs. Taking the preset time interval of 1 hour as an example, a day is divided into 24 time periods, and P _{0 is used to} indicate that the upper node is between 0 o'clock and 1 o'clock. The probability of sending data to the lower-level node in time, that is, the sending probability of the lower-level node, T ₀ represents the sleep period set during this time period, and so on; a certain lower-level node P _{0 can be obtained according to historical transmission data or engineering experience data} ,P ₁ ,...,P ₂₃ are specific values, and they satisfy P ₀ +P ₁ +...+P ₂₃ =1. For example, to obtain 200 historical transmission data of a certain lower-level node, count the number of data transmitted in each time period, and use the ratio of the number to 200 as the transmission probability; when the number of historical transmission data is large enough, the data that is close enough to the real data can be obtained Probability of sending.

Step S302: Define the sleep period of the time period as a sub-sleep period, and determine the response time expectation of the node according to the transmission probabilities of the N time periods and the N sub-sleep periods of the time period;

Specifically, the node response time expectation is calculated according to the sending probability and the sub-sleep period. Since the upper-level node sends data to the lower-level node with an average probability throughout the day, that is, the sending probability satisfies a uniform distribution, the node response time expectation E(t) is :

Step S303: Determine the all-day listening power consumption expectation of the lower-level node according to the sub-sleep periods of the N time periods and the single listening power consumption;

Specifically, in the embodiment of the present invention, the node power consumption only considers the listening power consumption. Assuming that the power consumption consumed by the lower-level node to wake up and listen once is W, the power consumption expected throughout the day is the node's all-day listening power The consumption expectation E1(w) is:

Step S304: Establish a target balance function according to the expected response time of the node, the expected full-day listening power consumption of the node, the first preset weight and the second preset weight;

Specifically, the specific values of the first preset weight A and the second preset weight B are set from the emphasis on node response time and node power consumption, and the sum of the first preset weight A and the second preset weight B is 1. , Assuming that the communication network pays more attention to the response time of the node, the first preset weight expected for the response time of the node is set to 0.7, and correspondingly, the second preset weight expected for the node's all-day listening power consumption is 0.3, in order to achieve The real-time communication of the communication network and the balance of the power consumption of the node, establish the objective function y:

y=AE(t)+BE1(w).

At this time, the problem is converted to solving the value of _{T 0} , T ₁ ,..., T _{23 when the objective function y is the smallest.}

Step S305: Calculate the set of sub-sleep periods of the lower node when the objective balance function is the smallest, the set of sub-sleep periods includes sub-sleep periods of N time periods, and the set of sub-sleep periods is taken as the set of sub-sleep periods. Describe the optimal sleep cycle.

Specifically, after substituting E(t) and E1(w), the objective function y can be expanded as

_{Then the values of T 0} , T ₁ ,..., T ₂₃ can be obtained by using the mean value inequality or the properties of the check function. T ₀ , T ₁ ,..., T _{23 are} the optimal sleep periods of the lower-level nodes.

Using the method in Figure 3, after obtaining the transmission probability according to the historical transmission data, the node response time expectation and the node's all-day listening power consumption expectation are obtained according to the sending probability, and then the objective balance function is established to obtain the shortest node response time and node performance. The sub-sleep period under the lowest consumption condition, that is, the optimal sleep period of the lower-level node, can not only ensure that the communication response of the communication network is timely, but also can reduce the power consumption of the lower-level node.

Further, in an embodiment, referring to FIG. 4, FIG. 4 is a schematic flowchart of a data communication method provided by an embodiment of the present invention; after sending data to the lower-level node in the startup state of the lower-level node, further include:

Step S401, after the lower-level node receives the first preset number of times of data throughout the day, the sub-sleep period of the remaining time period of the day of the lower-level node is set as the preset maximum sub-sleep period;

Specifically, the specific value of the first preset number can be set freely. Generally, the specific value of the first preset number can be determined according to the number of times the communication network actually needs to send data throughout the day. For example, in the communication network, the upper node Data needs to be sent to the lower node once a day, and the first preset number can be set to any value greater than or equal to 1, to ensure the normal data sending requirements of the communication network. In order to further save the power consumption of the lower-level node, after receiving the first preset number of times of data, the sub-sleep period of the remaining time period of the day of the lower-level node is set to the preset maximum sub-sleep period, and the preset maximum sub-sleep period is The longest response time that the user can accept can be set based on experience.

Step S402: During the remaining time period of the day of the lower-level node, control the lower-level node to periodically start and periodically sleep according to the preset maximum sub-sleep period.

Specifically, the lower-level node starts and sleeps in the preset maximum sub-sleep period during the remaining time period of the day, which can effectively save the power consumption of the lower-level node.

Further, in another embodiment, referring to FIG. 5, FIG. 5 is a schematic flowchart of a data communication method provided by an embodiment of the present invention; after sending data to the lower-level node in the startup state of the lower-level node, Also includes:

Step S501: After the lower-level node receives the first preset number of times of data throughout the day, select a second preset number of time periods from the remaining time periods of the day of the lower-level node as the adjustment time period, and the second The preset number is less than the number in the remaining time period of the day;

Specifically, the specific values of the first preset number and the second preset number can be set according to actual needs.

Step S502, setting the sleep period of the adjustment time period as the preset maximum sub-sleep period;

Step S503: In the adjustment time period, control the lower-level node to periodically start and periodically sleep according to the preset maximum sub-sleep period.

Specifically, the method in Figure 5 is similar to the method in Figure 4, the sub-sleep cycle adjustment is performed after the lower-level node receives the first preset number of times throughout the day; the difference is that in the method in Figure 5, from the remaining time period of the day Select the second preset number of time periods as the adjustment time period, set the sub-sleep period of the adjusted time period as the preset maximum sub-sleep period, and only adjust the sleep period for certain time periods in the remaining time periods of the day. Respond promptly to occasional transmission events of the communication network to avoid untimely communication responses. The adjustment time period can be a continuous time period, or a periodic or randomly spaced time period.

It is worth noting that when using the method of Figure 4 for communication, since the sub-sleep cycle will be adjusted during the communication process, the calculation method of the all-day listening power consumption expectation will be different from that of Figure 3, that is, the optimal sleep cycle The calculation method is different. Refer to FIG. 6, which is a schematic flowchart of a data communication method provided by an embodiment of the present invention; the step S201 includes:

Step S601: Divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

Step S602: Define the sleep period of the time period as a sub-sleep period, and determine the response time expectation of the node according to the transmission probabilities of the N time periods and the N sub-sleep periods of the time period;

Specifically, the method for determining E(t) is the same as that in FIG. 3, and will not be repeated.

Step S603: According to the transmission probabilities of the N time periods, the sub-sleep periods of the N time periods, and the single listening power consumption, it is determined that after the first preset number of times of data is received throughout the day, the Under the condition that the sub-sleep period of the remaining time period of the lower-level node is set to the preset maximum sub-sleep period, the node of the lower-level node listens to the power consumption expectation throughout the day;

Specifically, different from FIG. 3, it needs to be determined that after the first preset number of times of data is received throughout the day, the sub-sleep period of the remaining period of the day of the lower-level node is set as the preset maximum sub-sleep period. When the time, the nodes of the subordinate nodes listen to the power consumption expectations throughout the day. Assuming that the preset maximum sub-sleep period is T _MAX , the node's all-day listening power consumption expectation E2(w) at this time is:

Step S604: Establish a target balance function according to the expected response time of the node, the expected full-day listening power consumption of the node, the first preset weight and the second preset weight;

Specifically, the objective balance function y is established according to E(t) and E2(w): y=AE(t)+BE2(w).

Step S605: Calculate the set of sub-sleep periods of the lower node when the objective balance function is the smallest, the set of sub-sleep periods includes sub-sleep periods of N time periods, and the set of sub-sleep periods is taken as the set of sub-sleep periods. The optimal sleep period, wherein the preset maximum sub-sleep period is greater than the maximum value in the set of sub-sleep periods.

Specifically, after expanding the objective balance function, we can also get:

_{T 0} , T ₁ ,..., T ₂₃ obtained by the solution are the optimal sleep period of the lower node at this time.

In the same way, when using the method of Figure 5 to communicate, since the sub-sleep cycle of the time period will be adjusted, the method for determining the optimal sleep cycle at this time is also different from that of the same 3. The difference is that the node listens to the function throughout the day. The calculation of the consumption expectation is similar to the determination method shown in FIG. 6, and will not be repeated.

Based on the description of the above data communication method embodiment, the embodiment of the present invention also discloses a data communication device. Referring to FIG. 7, FIG. 7 is a schematic structural diagram of a data communication device provided by an embodiment of the present invention. Applied to a communication network including an upper-level node and at least one lower-level node, a communication connection is established between the upper-level node and the lower-level node, and the device includes a period determining module 701, a node control module 702, and a data sending module 703, wherein :

The cycle determining module 701 is configured to determine the optimal sleep cycle of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption according to the historical sending data of the upper-level node;

The node control module 702 is configured to control the lower-level node to periodically start and periodically sleep according to the optimal sleep period;

The data sending module 703 is configured to send data to the lower-level node when the lower-level node is in the startup state.

Among them, the specific functional implementation of the period determining module 701, the node control module 702, and the data sending module 703 can be referred to step S201 to step S203 in the corresponding embodiment of FIG. 2 above, and details are not described herein again.

Further, in one embodiment, referring to FIG. 8, FIG. 8 is a schematic structural diagram of a data communication device provided by an embodiment of the present invention. The period determination module 701 includes a first probability determination submodule 801, a first time expectation The obtaining sub-module 802, the first power consumption expectation obtaining sub-module 803, the first function establishment sub-module 804, and the first cycle calculation sub-module 805, where:

The first probability determination submodule 801 is configured to divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

The first-time expectation acquisition sub-module 802 is used to define the sleep period of the time period as a sub-sleep period, and determine the node response time expectation according to the transmission probability of the N time periods and the N sub-sleep periods of the time period ；

The first power consumption expectation obtaining submodule 803 is configured to determine the all-day listening power consumption expectation of the lower-level node according to the N sub-sleep periods of the time period and the single listening power consumption;

The first function establishment sub-module 804 is configured to establish a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

The first period calculation sub-module 805 is used to calculate the sub-sleep period set of the lower node when the target balance function is at the minimum function value. The sub-sleep period set includes sub-sleep periods of N time periods, The set of sub-sleep cycles serves as the optimal sleep cycle.

Among them, the first probability determination submodule 801, the first time expectation acquisition submodule 802, the first power consumption expectation acquisition submodule 803, the first function establishment submodule 804, and the first cycle calculation submodule 805 can be implemented in specific functions. Refer to step S301 to step S305 in the corresponding embodiment in FIG. 3 above, and details are not described herein again.

Further, in an embodiment, the device further includes a first period adjustment module, wherein:

The first period adjustment module is configured to set the sub-sleep period of the remaining time period of the day of the lower-level node to the preset maximum sub-sleep period after the lower-level node receives a first preset number of data throughout the day ；

The node control module is further configured to control the lower-level node to periodically start and periodically sleep according to the preset maximum sub-sleep period during the remaining time period of the day of the lower-level node.

Among them, the specific function implementation manners of the first cycle adjustment module and the node control module can be referred to step S401 to step S402 in the corresponding embodiment of FIG. 4, which will not be repeated here.

Further, in an embodiment, the device further includes a time period selection module and a second period adjustment module, wherein:

The time period selection module is configured to select a second preset number of time periods from the remaining time periods of the day of the lower-level node as the adjustment time period after the lower-level node receives the first preset number of data times throughout the day, The second preset number is less than the number in the remaining time period of the day;

A second cycle adjustment module, configured to set the sleep cycle of the adjustment time period as the preset maximum sub-sleep cycle;

The node control module is further configured to control the lower-level node to periodically start and periodically sleep according to the preset maximum sub-sleep period during the adjustment time period.

Among them, the specific functional implementation manners of the time period selection module, the second cycle adjustment module, and the node control module can be referred to step S501 to step S503 in the corresponding embodiment of FIG. 5, which will not be repeated here.

Further, in one embodiment, referring to FIG. 9, FIG. 9 is a schematic structural diagram of a data communication device provided by an embodiment of the present invention. The period determination module 701 includes a second probability determination submodule 901, a second time expectation The obtaining sub-module 902, the second expected power consumption obtaining sub-module 903, the second function establishment sub-module 904, and the second cycle calculation sub-module 905, wherein:

The second probability determining submodule 901 is configured to divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

The second time expectation acquisition sub-module 902 is used to define the sleep period of the time period as a sub-sleep period, and determine the node response time expectation according to the transmission probability of the N time periods and the N sub-sleep periods of the time period ；

The second power consumption expectation acquisition sub-module 903 is configured to determine to receive the first pre-recorded signal throughout the day according to the transmission probabilities of the N time periods, the sub-sleep periods of the N time periods, and the single listening power consumption. After setting the number of times of data, the sub-sleep period of the remaining time period of the lower-level node is set to the preset maximum sub-sleep period, and the node of the lower-level node listens to the power consumption expectation throughout the day;

The second function establishment sub-module 904 is configured to establish a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

The second period calculation sub-module 905 is used to calculate the sub-sleep period set of the lower node when the target balance function is the smallest, the sub-sleep period set includes sub-sleep periods of N time periods, and the The set of sub-sleep periods serves as the optimal sleep period, wherein the preset maximum sub-sleep period is greater than the maximum value in the set of sub-sleep periods.

Among them, the second probability determination submodule 901, the second time expectation acquisition submodule 902, the second power consumption expectation acquisition submodule 903, the second function establishment submodule 904, and the second cycle calculation submodule 905 can be implemented in specific functions. Refer to step S601 to step S605 in the corresponding embodiment in FIG. 6 above, and details are not described herein again.

It is worth noting that each unit or module in the data communication device shown in FIG. 7, FIG. 8 and FIG. 9 can be separately or completely combined into one or several other units or modules to form, or some (some of them) ) The unit or module can be further divided into a plurality of functionally smaller units or modules to form, which can realize the same operation without affecting the realization of the technical effect of the embodiment of the present invention. The above-mentioned units or modules are divided based on logical functions. In practical applications, the function of one unit (or module) can also be realized by multiple units (or modules), or the function of multiple units (or modules) can be implemented by one unit. (Or module) implementation.

Based on the description of the foregoing method embodiment and device embodiment, an embodiment of the present invention also provides a terminal device.

Refer to FIG. 10, which is a schematic structural diagram of a terminal device according to an embodiment of the present invention. As shown in FIG. 10, the data communication apparatus in FIGS. 7 to 9 described above can be applied to the terminal device 100. The terminal device 100 can include a processor 101, a network interface 104, and a memory 105. In addition, the terminal The device 100 may further include: a user interface 103 and at least one communication bus 102. Among them, the communication bus 102 is used to implement connection and communication between these components. The user interface 103 may include a display screen (Display) and a keyboard (Keyboard), and the optional user interface 103 may also include a standard wired interface and a wireless interface. The network interface 104 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 105 may be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory 105 may also be at least one storage device located far away from the aforementioned processor 101. As shown in FIG. 10, the memory 105 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a device control application program.

In the terminal device 100 shown in FIG. 10, the network interface 104 can provide network communication functions; the user interface 103 is mainly used to provide an input interface for the user; and the processor 101 can be used to call the device control application stored in the memory 105 Procedure to achieve:

In one embodiment, when the processor 101 executes the historical sending data of the upper-level node to determine that the lower-level node satisfies the optimal sleep period under the conditions of the shortest node response time and the lowest node power consumption, it specifically executes The following steps:

In an embodiment, the processor 101 further executes the following steps after sending data to the lower-level node in the startup state of the lower-level node:

It should be understood that the terminal device 100 described in the embodiment of the present invention can perform the description of the data communication method in the foregoing embodiment corresponding to FIG. 2 to FIG. 6 and may also perform the foregoing description of the data communication method in the foregoing embodiment corresponding to FIG. 7 to FIG. 9 The description of the data communication device will not be repeated here. In addition, the description of the beneficial effects of using the same method will not be repeated.

In addition, it should be pointed out here that the embodiment of the present invention also provides a computer storage medium, and the computer storage medium stores the computer program executed by the aforementioned data communication device, and the computer program includes the program Instruction, when the processor executes the program instruction, it can execute the description of the data communication method in the foregoing embodiment corresponding to FIG. 2 to FIG. 6, therefore, it will not be repeated here. In addition, the description of the beneficial effects of using the same method will not be repeated. For technical details not disclosed in the embodiments of the computer storage medium involved in the present invention, please refer to the description of the method embodiments of the present invention.

A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing relevant hardware through a computer program. The program can be stored in a computer readable storage medium, and the program can be stored in a computer readable storage medium. During execution, it may include the procedures of the above-mentioned method embodiments. Wherein, the storage medium may be a magnetic disk, an optical disc, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.

The above-disclosed are only the preferred embodiments of the present invention, which of course cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope of the present invention.

Claims

A data communication method, characterized in that it is applied to a communication network including an upper-level node and at least one lower-level node, and a communication connection is established between the upper-level node and the lower-level node, and the method includes:

According to the historical sending data of the upper-level node, determine the optimal sleep period of the lower-level node that satisfies the conditions of the shortest node response time and the lowest node power consumption;

Controlling the subordinate node to periodically start and periodically sleep according to the optimal sleep period;

Sending data to the lower-level node when the lower-level node is in the startup state.
The method according to claim 1, wherein the determining the optimal sleep period of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption according to the historical sending data of the upper-level node comprises :

Divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

Define the sleep period of the time period as a sub-sleep period, and determine the response time expectation of the node according to the transmission probabilities of the N time periods and the N sub-sleep periods of the time period;

Determine the all-day listening power consumption expectation of the lower-level node according to the sub-sleep periods of the N time periods and the single listening power consumption;

Establishing a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

Calculate the objective balance function when the function value is the smallest, the sub-sleep period set of the lower node, the sub-sleep period set includes sub-sleep periods of N time periods, and the sub-sleep period set is taken as the optimal Sleep cycle.
The method according to claim 1, wherein the determining the optimal sleep period of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption according to the historical sending data of the upper-level node comprises :

Divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

Define the sleep period of the time period as a sub-sleep period, and determine the response time expectation of the node according to the transmission probabilities of the N time periods and the N sub-sleep periods of the time period;

According to the transmission probabilities of the N time periods, the sub-sleep periods of the N time periods, and the power consumption of a single listening, it is determined that after the first preset number of times of data is received throughout the day, the lower node will Under the condition that the sub-sleep period of the remaining time period is set to the preset maximum sub-sleep period, the node of the lower-level node listens to the power consumption expectation throughout the day;

Establishing a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

Calculate the objective balance function when the function value is the smallest, the sub-sleep period set of the lower node, the sub-sleep period set includes sub-sleep periods of N time periods, and the sub-sleep period set is taken as the optimal The sleep period, wherein the preset maximum sub-sleep period is greater than the maximum value in the set of sub-sleep periods.
The method according to claim 3, wherein after sending data to the lower-level node when the lower-level node is in the startup state, the method further comprises:

After the lower-level node receives the first preset number of times of data throughout the day, select a second preset number of time periods from the remaining time periods of the day of the lower-level node as the adjustment time period, and the second preset number Less than the number of time periods remaining on the day;

Setting the sleep period of the adjustment time period as the preset maximum sub-sleep period;

During the adjustment time period, the lower-level node is controlled to periodically start and periodically sleep according to the preset maximum sub-sleep period.
The method according to claim 3, wherein after sending data to the lower-level node when the lower-level node is in the startup state, the method further comprises:

After the lower-level node receives the first preset number of times of data throughout the day, setting the sub-sleep period of the remaining time period of the day of the lower-level node as the preset maximum sub-sleep period;

During the remaining time period of the day of the lower-level node, controlling the lower-level node to periodically start and periodically sleep according to the preset maximum sub-sleep period.
A data communication device, characterized in that it is applied to a communication network including an upper-level node and at least one lower-level node, a communication connection is established between the upper-level node and the lower-level node, and the device includes:

A cycle determining module, configured to determine the optimal sleep cycle of the lower-level node under the conditions of the shortest node response time and the lowest node power consumption according to the historical sending data of the upper-level node;

A node control module, configured to control the lower-level node to periodically start and periodically sleep according to the optimal sleep period;

The data sending module is used to send data to the lower-level node when the lower-level node is in the starting state.
The device according to claim 6, wherein the period determining module comprises:

The first probability determination submodule is configured to divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

The first time expectation acquisition sub-module is used to define the sleep period of the time period as a sub-sleep period, and determine the response time expectation of the node according to the transmission probability of the N time periods and the sub-sleep period of the N time periods;

The first power consumption expectation acquisition sub-module is configured to determine the all-day listening power consumption expectation of the lower-level node according to the N sub-sleep periods of the time period and the single listening power consumption;

The first function establishment sub-module is configured to establish a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

The first period calculation sub-module is used to calculate the sub-sleep period set of the lower node when the objective balance function is the smallest, the sub-sleep period set includes sub-sleep periods of N time periods, and the A set of sub-sleep cycles is used as the optimal sleep cycle.
The device according to claim 6, wherein the period determining module comprises:

The second probability determination submodule is configured to divide the whole day according to a preset time interval to obtain N time periods, where N is greater than 1, and determine the transmission probability corresponding to the time period according to the historical transmission data of the upper-level node;

The second time expectation acquisition sub-module is used to define the sleep period of the time period as a sub-sleep period, and determine the node response time expectation according to the transmission probability of the N time periods and the N sub-sleep periods of the time period;

The second power consumption expectation acquisition sub-module is configured to determine to receive the first preset throughout the day according to the transmission probability of the N time periods, the sub-sleep periods of the N time periods, and the single listening power consumption After a number of times of data, the sub-sleep period of the remaining time period of the lower-level node is set to the preset maximum sub-sleep period, and the node of the lower-level node listens to power consumption expectations throughout the day;

The second function establishment sub-module is used to establish a target balance function according to the node response time expectation, the node's all-day listening power consumption expectation, the first preset weight and the second preset weight;

The second period calculation sub-module is used to calculate the sub-sleep period set of the lower-level node when the objective balance function is the smallest, the sub-sleep period set includes sub-sleep periods of N time periods, and the A set of sub-sleep periods is used as the optimal sleep period, wherein the preset maximum sub-sleep period is greater than the maximum value in the set of sub-sleep periods.
A terminal device, characterized by comprising: a processor and a memory;

The processor is connected to a memory, wherein the memory is used to store program code, and the processor is used to call the program code to execute the data communication method according to any one of claims 1-5.
A computer storage medium, wherein the computer storage medium stores a computer program, the computer program includes program instructions, and when executed by a processor, the program instructions execute as described in any one of claims 1-5 The data communication method described.