CN113660690A - Communication method and device for Internet of things equipment - Google Patents
Communication method and device for Internet of things equipment Download PDFInfo
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- CN113660690A CN113660690A CN202111213170.4A CN202111213170A CN113660690A CN 113660690 A CN113660690 A CN 113660690A CN 202111213170 A CN202111213170 A CN 202111213170A CN 113660690 A CN113660690 A CN 113660690A
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Abstract
The embodiment of the application discloses a communication method and device for Internet of things equipment. One embodiment of the method comprises: acquiring the communication quality and the communication guiding duration of each communication time point in a communication period; determining an available communication time length in a communication cycle based on the power consumption of the Internet of things equipment; performing communication arbitration according to the communication quality, the guide communication time length and the available communication time length to obtain an arbitration result; and determining whether to network according to the judgment result. According to the implementation mode, the timely data interaction and power consumption balance in the communication process of the Internet of things are realized through the arbitration function.
Description
Technical Field
The embodiment of the application relates to the field of communication of the Internet of things, in particular to a communication method and device for equipment of the Internet of things.
Background
Narrow-Band Internet of Things (NB-IoT) is taken as an important branch of the Internet of everything and is widely applied to the fields of intelligent home, intelligent medical treatment, intelligent parking, asset tracking and the like. The internet of things communication technology with high efficiency, timeliness and low energy consumption becomes a research hotspot.
Disclosure of Invention
The embodiment of the application provides a communication method and device for Internet of things equipment, a computer readable medium, a processor and the Internet of things equipment.
In a first aspect, an embodiment of the present application provides a communication method for an internet of things device. The method comprises the following steps: acquiring the communication quality and the communication guiding duration of each communication time point in a communication period; determining an available communication time length in a communication cycle based on the power consumption of the Internet of things equipment; performing communication arbitration according to the communication quality, the guide communication time length and the available communication time length to obtain an arbitration result; and determining whether to network according to the judgment result.
In some embodiments, the obtaining of the communication quality and the guided communication duration at each communication time point within the communication period includes: and acquiring the communication quality and the guiding communication duration of each communication time point in the communication period according to the prediction model, wherein each communication time point in the communication period is used as an input characteristic, the communication quality and the guiding communication duration of each communication time point in the communication period are used as output characteristics, and the prediction model is trained.
In some embodiments, the method further comprises: and updating the prediction model by taking the judgment result of each communication time point in the communication period as a learning sample.
In some embodiments, determining the available communication duration within the communication cycle based on the power consumption of the internet of things device comprises: acquiring a corresponding relation between the total communication duration and the power consumption of the Internet of things equipment through an energy consumption test; according to the corresponding relation, under the condition that the power consumption of the Internet of things equipment is guaranteed, the average communicable time length T seconds/day of the Internet of things equipment is determined, wherein T is larger than 0; judging whether the current communication time point is a new day or not, and if so, increasing the total communication time length of the equipment by T seconds; and determining the available communication time length according to the remaining communication time length before the communication and the actual communication time length of the communication.
In some embodiments, arbitrating communications based on the quality of communications, the duration of the directed communications, and the duration of the available communications comprises: m future communication time points with communication quality higher than that of the current communication time point in the communication period and Z future communication time points with communication quality equal to that of the current communication time point are determined, wherein M is more than or equal to 0 and less than or equal to N, Z is more than or equal to 0 and less than or equal to N, and N represents the number of all communication time points in the communication period.
In some embodiments, the method comprises: when M is larger than or equal to 1, determining the priority according to the communication quality of M future communication time points; allocating time length to M future communication time points according to the priority; it is determined whether a remaining duration of the available communication duration minus a total communication duration of the M future communication time points is greater than a guide communication duration of the current communication time point.
In some embodiments, the method comprises: when Z =0 and the remaining duration is greater than the communication-directing duration of the current communication time point, determining the arbitration result as communication; and when the Z is more than or equal to 1 and the residual time length is more than the communication guiding time length of the current communication time point, calculating the communication probability of the current communication time point and determining the judgment result in a random number mode.
In some embodiments, the method comprises: when M =0, a communication probability of the current communication time point is calculated, and the arbitration result is determined in the form of a random number.
In some embodiments, the communication period is 7 days, 3 communication time points per day.
In some embodiments, the internet of things device comprises at least one of a smart door lock, a smart electric meter, a smart water meter, a smart medical device, a smart roadside device, and a wearable device.
In a second aspect, an embodiment of the present application provides a communication apparatus for an internet of things device, where the apparatus includes: the acquisition module is used for acquiring the communication quality and the communication guiding duration of each communication time point in a communication period; the determining module is used for determining the available communication time length in the communication period based on the power consumption of the Internet of things equipment; the arbitration module is used for carrying out communication arbitration according to the communication quality, the guide communication time length and the available communication time length to obtain an arbitration result; and the arbitration module is also used for determining whether to network or not according to the arbitration result.
In a third aspect, the present application provides a computer readable medium, on which a computer program is stored, where the program, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present application provides a processor, where the processor is configured to execute a program, where the program when executed implements the method described in any implementation manner of the first aspect.
In a fifth aspect, an embodiment of the present application provides an internet of things device, including: one or more processors; a storage device having one or more programs stored thereon; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described in any implementation of the first aspect.
According to the communication method and the communication device for the Internet of things equipment, the communication quality and the communication guiding duration of each communication time point in the communication period are obtained, the available communication duration in the communication period is determined based on the power consumption of the Internet of things equipment, communication arbitration is carried out according to the communication quality, the communication guiding duration and the available communication duration, and an arbitration result is obtained; and determining whether to connect the network or not according to the judgment result, and searching for the optimal communication duration of each time point on the premise of ensuring the power consumption of the equipment, thereby realizing the timely data interaction and the power consumption balance in the communication process of the Internet of things.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some examples or embodiments of the present application, and that for a person skilled in the art, other drawings can be obtained from the provided drawings without inventive effort, and that the present application can also be applied to other similar scenarios from the provided drawings. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
FIG. 1 is an exemplary system architecture diagram to which some embodiments of the present application may be applied.
Fig. 2 is a flow diagram of one embodiment of a communication method for internet of things devices according to the present application.
Fig. 3 is a flow diagram of another embodiment of a communication method for internet of things devices according to the present application.
FIG. 4 is a schematic diagram of a predictive model according to the present application.
Fig. 5 is a flow diagram of yet another embodiment of a communication method for internet of things devices according to the present application.
Fig. 6 is a flow chart of yet another embodiment of a communication method for internet of things devices according to the present application.
Fig. 7 is a schematic structural diagram of an embodiment of a communication apparatus for an internet of things device according to the application.
FIG. 8 is a schematic diagram of an electronic device suitable for use in implementing some embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. The described embodiments are only some embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements. An element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
In the description of the embodiments herein, "/" means "or" unless otherwise specified, for example, a/B may mean a or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality" means two or more than two.
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
In the related art, the internet of things device generally uses a fixed time node communication method to transmit user data, for example, communication is performed at three fixed time points each day. However, before communication, the communication quality of the external network is unknown, and if the network is disconnected and the communication quality is poor, it often takes a long time to try to connect to the network and easily fails, consuming excessive power.
In the related art, a network quality testing module is used for detecting the network quality, for example, the network quality is determined according to the ping network success rate which is continuously repeated several times at a certain interval time, if the ping network is successfully accumulated for three times, the network quality is good, if the ping network is successfully 0 to three times, the weak network is indicated, and if the ping network is unsuccessfully accumulated for three times, the network quality is poor, so that the time length corresponding to the communication is determined. However, the reliability of the test result obtained by this method is low, on one hand, the successful ping network does not represent good network quality, and in actual operation, a scene that the ping network succeeds but the networking fails exists, and on the other hand, under the condition of a weak network or a poor network, the situation that user data cannot interact due to long-time non-communication or the power consumption is too fast due to frequent communication may occur.
Therefore, in order to meet the requirement of power consumption, the network communication quality needs to be obtained by a reasonable strategy before communication, a proper communication strategy is determined according to the quality, communication can be stopped when the network communication quality is not good, and if the communication is necessary, reasonable communication time needs to be planned to ensure the success rate of communication, so that the power consumption is reduced, the communication efficiency is improved, and the balance between timely data interaction and the power consumption is achieved.
Fig. 1 illustrates an exemplary system architecture 100 to which some embodiments of the communication methods and apparatus for internet of things devices of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types suitable for use in internet of things communication scenarios, such as wired, wireless communication links, or fiber optic cables, among others.
The terminal devices 101, 102, 103 interact with the server 105 through the network 104, and the terminal devices may be various hardware applied to the internet of things, such as internet of things devices, or software. The Internet of things can be narrow-band Internet of things, and the Internet of things equipment can be intelligent door locks, intelligent household appliances and the like for intelligent home; intelligent meter reading for utilities (water/gas/electricity/heat), intelligent water service equipment (pipe network/leakage/quality inspection), intelligent fire extinguishers/hydrants, etc.; medicine tracing equipment for medical health, remote medical monitoring equipment, a blood pressure meter, a glucometer, a heart protection armor monitoring and the like; the intelligent street lamp, intelligent parking equipment, urban garbage can management equipment, alarm equipment, building site/urban water level monitoring equipment and the like for the smart city; wearable devices for consumers, bicycle/moped anti-theft devices, smart luggage, VIP tracking devices, payment devices/POS machines, etc.; accurate planting equipment (environmental parameter detection equipment: water/temperature/light/medicine/fertilizer) for agricultural environment, livestock breeding equipment, aquaculture equipment, food safety tracing equipment, urban environment monitoring equipment/equipment state monitoring equipment, energy facility/oil gas monitoring equipment, chemical industry park monitoring equipment, large-scale leasing equipment, predictive maintenance equipment and the like. The scope of the internet of things devices is not limited in this application.
In addition, the terminal device further includes an electronic device such as a smart phone, a tablet computer, a wearable device, a vehicle-mounted device, an Augmented Reality (AR)/Virtual Reality (VR) device, an ultra-mobile personal computer (UMPC), a netbook, a Personal Digital Assistant (PDA), an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III, Moving Picture Experts compression standard Audio Layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, Moving Picture Experts compression standard Audio Layer 4) player, a laptop portable computer, a desktop computer, an intelligent electric meter, an intelligent water meter, an intelligent cat eye, a gateway, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. The embodiment of the present application does not set any limit to the specific type of the electronic device.
The server 105 may be a server providing various services, such as a background server providing support for the terminal devices 101, 102, 103. The background server may, in response to receiving the information acquisition request sent by the terminal device 101, 102, 103, analyze the request, and obtain a processing result (for example, information to be pushed), and return the processing result.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be noted that the communication method for the internet of things device provided in the embodiment of the present application is generally executed by a terminal device (i.e., an internet of things device), and accordingly, the communication device for the internet of things device is generally disposed in the internet of things device.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. The system architecture may not include a server when the terminal device obtains data locally.
With continued reference to fig. 2, a flow 200 of one implementation of a communication method for internet of things devices in accordance with the present application is shown. The method comprises the following steps:
In this embodiment, the execution subject of the method may be the internet of things device described in the above embodiments. Before communication is carried out at each time point, the Internet of things equipment judges whether the current network is disconnected, and if the current network is not disconnected, direct communication can be carried out. When the network is disconnected, the internet of things equipment reads the relevant data stored in the internet of things equipment, wherein the relevant data comprises the communication quality and the guiding communication duration of each communication time point in a communication cycle.
In the embodiment of the application, one communication cycle may be 7 days, each day includes 3 communication time points, and for the current communication time point, the internet of things device may obtain the communication quality and the guided communication duration of 21 communication time points in the future 7 days. It is to be understood that the number of days of the communication cycle and the number of communication time points described above are merely examples and should not be construed as a limitation of the present application.
It can be understood that different communication time points correspond to respective communication qualities, and for different communication qualities, the communication time length can be the minimum time length for ensuring that the current communication time point can normally perform networking communication, or any value within a reasonable time length interval.
In this embodiment, before each communication, the internet of things device calculates a remaining total communicable time duration, i.e., an available communication time duration, in a future communication cycle. Through testing and calculation, the available communication time length under the premise of ensuring the power consumption of the equipment is obtained, the electric quantity consumption is controlled in a reasonable range, and the power consumption requirement is met.
In this embodiment, for the current time point, communication arbitration is performed according to the communication quality, the pilot communication duration, and the available communication duration, and whether to perform communication at the current time point is determined, where two arbitration results are:
a. the communication is not carried out: according to the obtained communication quality and the guiding communication time length, if the network quality at the time point is poor, the communication is probably unsuccessful, so that the power consumption is wasted, the communication is not needed, and the communication can be performed at the next communication time node with good network quality.
b. The networking and communication: if the network quality at the time point is judged to be communicable, the communication time length can be guided to carry out the communication, so that the communication can be normally connected with the network and data interaction can be ensured.
And step 204, determining whether to network according to the judgment result.
In this embodiment, the internet of things device determines whether to perform networking and communication based on the arbitration result in step 203.
It is worth noting that compared with a network environment with good communication quality, the time for the weak network environment to connect with the network is longer, and the method can provide reasonable communication time after the network quality of the current communication is calculated to be the weak network or the poor network, so that the device can be normally connected with the network, and meanwhile, the power consumption is saved.
According to the communication method for the Internet of things equipment, the available communication time length in the communication period is determined based on the power consumption of the Internet of things equipment by acquiring the communication quality and the guided communication time length of each communication time point in the communication period, and the communication decision is carried out according to the communication quality, the guided communication time length and the available communication time length to acquire the decision result; and determining whether to connect the network or not according to the judgment result, and searching for the optimal communication duration of each time point on the premise of ensuring the power consumption of the equipment, thereby realizing the timely data interaction and the power consumption balance in the communication process of the Internet of things.
With further reference to fig. 3, a flow 300 of another embodiment of a communication method for internet of things devices is shown. In the communication method for the Internet of things equipment, the steps of obtaining the communication quality and the communication guiding duration of each communication time point in a communication period comprise the following steps:
In the embodiment, the internet of things device predicts the communication quality and the guiding communication duration of each communication time point (for example, 3 time points each day) in a future communication period (for example, 7 days) according to the prediction model stored in the internet of things device.
Specifically, it is assumed that the communication time point of each day of the device is fixed, and there is a certain regularity, for example, the communication quality during the peak time of network usage may be worse than during the low peak time, specifically, the network quality during early morning is slightly higher than during evening, the network quality during working day is slightly higher than during weekend, and the like. Therefore, the prediction model used in the method is trained by taking each communication time point in the communication period as an input feature and taking the communication quality and the guide communication time length of each communication time point in the communication period as output features.
The prediction model can be updated and corrected by using the arbitration result for each communication time point in the communication cycle as a learning sample. In other words, by quantifying the network quality, the communication result at each time adjusts the value, and the prediction model is modified according to the actual communication quality and the actual communication duration at each time point, and when the communication result is successful, the network quality representing the time node is improved, and vice versa.
Fig. 4 shows a schematic diagram of a prediction model in which the abscissa represents time and the ordinate represents a value of communication quality. Taking an example showing 7 days as a communication cycle and 3 fixed time points per day, the small circles with sequence numbers in the figure represent the respective time points, and the heights thereof represent communication quality. The figure can visually see the quantization condition of each communication quality in a period of 7 days. Since the result of each communication arbitration can be used as a sample to modify the model, the graph dynamically changes along with the time, and the periodic rule of the network quality change can be well sensed and learned. The model can calculate the guiding communication time according to the communication quality, and the guiding communication time is longer when the network quality is worse.
And 303, performing communication arbitration according to the communication quality, the guide communication time length and the available communication time length to obtain an arbitration result.
And step 304, determining whether to network according to the judgment result.
In this embodiment, the specific implementation of steps 302 to 304 is similar to the specific implementation of steps 202 to 204, and is not repeated herein.
As can be seen from fig. 3 and fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for pushing information in this embodiment highlights that the prediction model is used to obtain the communication quality and the guided communication duration of each communication time point in the communication cycle, and since the prediction model has self-learning property, after the calculation of each time node is completed, the prediction model is modified, so that the prediction model truly reflects the dynamic change rule of the communication quality, the network quality of each communication time point in the future is accurately predicted, and a communication strategy with guiding significance is found.
With further reference to fig. 5, a flow 500 of another embodiment of a communication method for internet of things devices is shown. The method comprises the following steps:
In this embodiment, the idea of power consumption-communication duration-planning is adopted, and before each communication, the remaining total duration that can be communicated for a future period of time (i.e., a future communication cycle) is calculated, and is used as the basis of the communication arbitration functional module. Before the device is used formally, the corresponding relationship between the communication duration and the power consumption of the device may be obtained through an Energy consumption test, for example, the lowest Energy conversion efficiency and the Energy consumption level may be determined according to Eup (Energy-consuming Products) instructions of the european union and Energy saving standards of the Energy Star (Energy Star) plan of the united states, or a single test may be performed on each component of an electronic product to obtain a test result, or a real-time acquisition may be performed on components such as a data acquisition card, a power meter, and a multimeter, so that the power consumption of the device is W watts, and the corresponding relationship between the communication duration and the power consumption of the device may be obtained through a table lookup or a data analysis, that is, the device power consumption is converted into the communication duration.
In this embodiment, the available communication time per day of the device is T seconds on average by testing and calculation on the premise of ensuring power consumption.
And step 504, judging whether the current communication time point is a new day, and if so, increasing the total communication time length of the equipment by T seconds.
In the present embodiment, assuming that the communication cycle is 7 days, and 3 communications are fixed every day, the total communication time length of the device increases by T seconds every time a new day comes. For the current communication time point, the device records the actual consumed time length for the communication time point to attempt communication, and the actual time length is recorded for calculating the communicable time length in the communication period regardless of whether the current communication time point is successful in communication.
And 505, determining the available communication time length according to the remaining communication time length before the communication and the actual communication time length of the communication.
Specifically, for the current communication time point, the communicable time length in the future communication cycle = communicable time length in the last communication cycle before the current communication — the actual time length of the current communication. In the exemplary embodiment, the remaining communicable time length of 7 days in the future = the remaining communicable time length of 7 days before the communication of this time — the actual use time length of the communication of this time.
And step 507, determining whether to network according to the judgment result.
The present embodiment is a specific refinement of the step 202 in the above embodiments, and it is understood that the step 202 specifically includes steps 502 to 505. The specific implementation of steps 501, 506, and 507 is similar to the specific implementation of steps 201, 203, and 204 in the above embodiments, and is not repeated here.
The method can ensure that the electric quantity consumption is controlled in a reasonable range by controlling the communication duration and strictly planning, reduces the power consumption of a large amount of devices which continuously try to network under the condition of poor network quality, and achieves the balance of communication efficiency and power consumption.
With further reference to fig. 6, a flow 600 of yet another embodiment of a communication method for an internet of things device is shown. The method comprises the following steps:
The specific situation that the internet of things device carries out communication arbitration according to the communication quality, the guide communication duration and the available communication duration will be described in detail below.
First, there are two main bases for communication arbitration: one is the available communication duration for the future time period (within the future communication cycle); the other is data (communication quality and guide communication duration obtained by the predictive model) at each communication time point within the period (within a future communication cycle). According to the two groups of data, the internet of things equipment allocates the communication time length to each time point in the future communication cycle, namely, plans the communication time length to each communication time point.
Specifically, the embodiment of the present application adopts a priority allocation principle, and preferentially allocates a duration to a communication time point with good communication quality. Therefore, in the embodiment of the present application, it is necessary to first compare the respective communication qualities of all the communication time points in the future communication cycle with the communication quality of the current communication time point.
The specific communication arbitration step comprises:
And step 607, when Z =0 and the remaining duration is greater than the duration of the guided communication at the current communication time point, determining that the arbitration result is communication.
And step 609, determining that the arbitration result is not communication when the remaining time length is less than or equal to the communication guiding time length of the current communication time point.
And step 610, when M =0, calculating the communication probability of the current communication time point, and determining the arbitration result in a random number mode.
The following describes the above steps 603 to 610. After obtaining M and Z, the specific manner of communication arbitration can be divided into the following cases:
the first situation is as follows: in the communication time points in the future communication cycle, there are time points with higher communication quality than the current communication time point, but there are no time points with equal communication quality to the current communication time point, i.e. M ≧ 1, Z =0, at this time, the priority of the communication quality of M communication time points is determined according to the priority assignment rule, and the time length is assigned to M communication time points according to the priority, and the assignment rule may be preset, for example, X seconds is assigned to the time point with high communication quality, and Y seconds is assigned to the time point with the second highest quality, where X is smaller than Y. And then comparing whether the remaining time length obtained by subtracting the total communication time length of the M future communication time points from the available communication time length is greater than the guiding communication time length of the current communication time point, if so, indicating that the remaining communicable time length is enough to enable the current communication time point to communicate according to the guiding communication time length output by the prediction model after all time nodes with better network quality than the current communication are planned, so that the judging result is communicable, otherwise, the judging result is not communicable.
Case two: in the communication time points in the future communication cycle, there are time points with higher communication quality than the current communication time point, and at the same time, there are time points with equal communication quality to the current communication time point, i.e. M is greater than or equal to 1, Z is greater than or equal to 1. Unlike the case, when the remaining time period is longer than the pilot communication time period of the current communication time point but is not enough to guarantee communication at Z time points, it cannot be directly determined that the current time point can be communicated, but the communication probability of the current communication time point needs to be calculated continuously considering Z future communication time points having the same communication quality as the current communication time point. Specifically, for such a scenario, the method decides whether to communicate in a probabilistic manner:
the probability of communication at the current communication time point = 100% of the remaining communication duration/the sum of the instructional communication durations at the Z communication time points.
In software technology, probability is simulated by using a random number mode, so that an arbitration result is obtained, and whether networking communication is carried out at the current communication time point is judged. For example, if the probability that the current communication time point can successfully communicate is calculated to be 55%, it is understood that 55 times of 100 times of networking are successful, then if the obtained random number is 56, it can be determined that the current time point is successfully networked, i.e. the obtained communication arbitration result is communication.
Case three: in the communication time points in the future communication cycle, only the time point with the communication quality equal to that of the current communication time point exists, that is, M =0, Z ≧ 1, the internet-of-things device calculates the probability that the time point can successfully communicate, and determines whether to network in a random number manner, as in the case two.
Specifically, the probability of communication at the current communication time point = 100% of the sum of the communicable time period/the instructional communication time periods for Z communication time points in the future communication period.
Case four: in a communication time point in a future communication cycle, only time points with communication quality worse than that of the current communication time point exist, namely, M =0 and Z =0, in this case, the related art generally directly judges not to be networked, but this judgment mode leads to the fact that user data cannot interact for a long time. Therefore, for this situation, the present application still adopts the manner as in the second situation, and the internet of things device calculates the probability that the communication can be successfully performed at this time point, and determines whether to perform networking in a random number manner.
Specifically, the probability of communication at the current communication time point = 100% of the communicable time period/the sum of the instructive communication time periods at all communication time points in the future communication period.
And step 611, determining whether to network according to the judgment result.
This embodiment is a specific refinement of step 203 in the above embodiment, and it can be understood that step 203 specifically includes steps 603 to 610 in the above embodiment. Step 602 in this embodiment may also include steps 502 to 505 in the above embodiments. The specific implementation of steps 601, 602, and 611 is similar to the specific implementation of steps 201, 202, and 204 in the above embodiments, and is not repeated here.
The embodiment plans the communication time length of each communication time point by considering the communication quality of each communication time point, guiding the communication time length and the communication time length in a communication period and comprehensively judges whether the current time point is communicated, thereby not only ensuring the communication success rate and the real-time performance, but also ensuring that user data can be interacted in time, avoiding the condition that the network cannot be connected for a long time, simultaneously reducing the power consumption of a large amount of equipment continuously trying to connect the network under the condition of poor network quality and achieving the balance of the communication efficiency and the power consumption.
With further reference to fig. 7, as an implementation of the methods shown in some of the above figures, the present application provides an embodiment of a communication apparatus for an internet of things device, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various internet of things devices.
As shown in fig. 7, the communication apparatus 700 for an internet of things device of the present embodiment includes: an obtaining module 701, a determining module 702, and a deciding module 703.
The obtaining module 701 is configured to obtain a communication quality and a guiding communication duration of each communication time point in a communication cycle.
The determining module 702 is configured to determine an available communication duration within a communication cycle based on a power consumption of the internet of things device.
The arbitration module 703 is configured to perform communication arbitration according to the communication quality, the guided communication duration, and the available communication duration, obtain an arbitration result, and determine whether to perform networking according to the arbitration result.
In this embodiment, the specific processing of the obtaining module 701, the determining module 702, and the deciding module 703 and the technical effects thereof can refer to the related descriptions of the embodiments of steps 201 to 204 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementation manners of this embodiment, the obtaining module 701 is configured to obtain, according to a prediction model, a communication quality and a guiding communication duration of each communication time point in a communication cycle, where each communication time point in the communication cycle is used as an input feature, and the communication quality and the guiding communication duration of each communication time point in the communication cycle are used as output features, and the prediction model is trained.
In some optional implementations of the embodiment, the apparatus further includes a prediction model updating module, configured to update the prediction model using the adjudication result of each communication time point in the communication cycle as the learning sample.
In some optional implementations of this embodiment, the determining module 702 includes: the computing unit is used for computing the corresponding relation between the total communication duration and the power consumption of the Internet of things equipment through the energy consumption test; the first determining unit is used for determining the average communicable time length T seconds/day of the Internet of things equipment when the power consumption of the Internet of things equipment is ensured according to the corresponding relation, wherein T is larger than 0; the time adding unit is used for judging whether the current communication time point is a new day or not, and if so, increasing the total communication time length of the equipment by T seconds; and the second determining unit is used for determining the available communication time length according to the remaining communication time length before the communication and the actual communication time length of the communication.
In some optional implementations of this embodiment, the arbitration module 703 includes: and the number determining unit is used for determining M future communication time points with communication quality higher than that of the current communication time point in the communication period and Z future communication time points with communication quality equal to that of the current communication time point, wherein M is greater than or equal to 0 and less than or equal to N, Z is greater than or equal to 0 and less than or equal to N, and N represents the number of all communication time points in the communication period.
In some optional implementations of this embodiment, the arbitration module 703 includes: the priority determining unit is used for determining the priority according to the communication quality of M future communication time points when M is larger than or equal to 1; the time length distribution unit is used for distributing time lengths to the M future communication time points according to the priority; and the judging unit is used for determining whether the remaining time length obtained by subtracting the total communication time length of the M future communication time points from the available communication time length is greater than the guiding communication time length of the current communication time point.
In some optional implementations of this embodiment, the arbitration module 703 includes: the arbitration unit is used for determining an arbitration result as communication when the Z =0 and the remaining duration is greater than the communication guiding duration of the current communication time point; and the probability calculating unit is used for calculating the communication probability of the current communication time point when the Z is more than or equal to 1 and the remaining time length is more than the guiding communication time length of the current communication time point, and the arbitration unit is used for determining the arbitration result in a random number mode.
In some optional implementations of this embodiment, the arbitration module 703 includes: a probability calculation unit for calculating a communication probability of a current communication time point when M = 0; and the arbitration unit is used for determining an arbitration result in a random number mode.
In some optional implementations of the present embodiment, the communication period is 7 days, 3 communication time points per day.
In some optional implementations of this embodiment, the internet of things device includes, but is not limited to, at least one of a smart lock, a smart safe, a smart meter, a smart water meter, a smart medical device, a smart roadside device, and a wearable device.
It should be noted that the apparatus 700 may be a chip, a component, or a module, and may include a processor and a memory, where the obtaining module 701, the determining module 702, the deciding module 703, and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor may include a kernel, which calls the corresponding program unit from the memory. The kernel can be set to be one or more, network quality judgment and communication judgment before networking are carried out by adjusting kernel parameters, communication duration of each communication time point is planned, whether communication is carried out at the current time point is comprehensively judged, communication success rate and real-time performance are guaranteed, user data can be interacted timely, the situation that networking cannot be carried out for a long time is avoided, meanwhile, power consumption of a large amount of equipment which tries to be networked continuously under the condition that network quality is poor is reduced, and balance of communication efficiency and power consumption is achieved.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to the communication device for the Internet of things equipment, the available communication time length in the communication cycle is determined based on the power consumption of the Internet of things equipment by acquiring the communication quality and the guided communication time length of each communication time point in the communication cycle, and the communication is arbitrated according to the communication quality, the guided communication time length and the available communication time length to acquire the arbitration result; and determining whether to perform networking according to the judgment result, planning the communication time length of each communication time point by considering the communication quality of each communication time point, guiding the communication time length and the communication time length in a communication period, and comprehensively judging whether to perform communication at the current time point, thereby ensuring the communication success rate and the real-time property, enabling user data to be interacted in time, avoiding the condition that networking cannot be performed for a long time, simultaneously reducing the power consumption of a large amount of equipment which continuously tries to perform networking under the condition of poor network quality, and achieving the balance of the communication efficiency and the power consumption.
Referring now to FIG. 8, shown is a schematic diagram of an electronic device 800 suitable for use in implementing some embodiments of the present application. Specifically, the electronic device 800 is an internet of things device, and the device shown in fig. 8 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 8, the electronic device 800 may include a processor 801, a memory 802, a communication interface 803, an input unit 804, an output unit 805, and a communication bus 806. Wherein the processor 801 and the memory 802 are connected to each other by a communication bus 806. A communication interface 803, an input unit 804 and an output unit 805 are also connected to the communication bus 806.
The communication interface 803 may be an interface of a communication module, such as an interface of a GSM module.
In the embodiment of the present application, the processor 801 may be a Central Processing Unit (CPU), an application-specific integrated circuit (ASIC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices.
In one possible implementation, the memory 802 may include a program storage area and a data storage area, where the program storage area may store an operating system, an application program required by at least one function (such as any function applicable to the internet of things device), and the like; the storage data area may store data created during use of the computer, such as user data, user access data, audio data, and the like.
Further, the memory 802 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device or other volatile solid state storage device.
The processor 801 may call a program stored in the memory 802, and in particular, the processor 801 may perform the operations performed by the communication apparatus for the internet of things device in fig. 7/the communication method for the internet of things device shown in any one of the embodiments of fig. 2 to 6.
The memory 802 is used for storing one or more programs, the programs may include program codes, the program codes include computer operation instructions, and in this embodiment, the memory 802 stores at least the programs for implementing the following functions: when the network is disconnected, the communication quality and the communication guiding duration of each communication time point in a communication period are obtained; determining an available communication time length in a communication cycle based on the power consumption of the Internet of things equipment; performing communication arbitration according to the communication quality, the guide communication time length and the available communication time length to obtain an arbitration result; and determining whether to network according to the judgment result.
The present application may further include an input unit 805, and the input unit 805 may include at least one of a touch sensing unit that senses a touch event on the touch display panel, a keyboard, a mouse, a camera, a microphone, and the like.
The output unit 804 may include: at least one of a display, a speaker, a vibration mechanism, a light, and the like. The display may comprise a display panel, such as a touch display panel or the like. In one possible case, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. The vibration mechanism may displace the electronic device 800 during operation, and in one possible implementation, the vibration mechanism includes a motor and an eccentric vibrator, and the motor drives the eccentric vibrator to rotate so as to generate vibration. The brightness and/or color of the lamp can be adjusted, in a possible implementation manner, different information can be embodied through at least one of the on-off, brightness and color of the lamp, for example, the alarm information can be embodied through red light emitted by the lamp.
Of course, the structure of the electronic device 800 shown in fig. 8 does not constitute a limitation of the electronic device in the embodiment of the present application, and in practical applications, the electronic device may include more or less components than those shown in fig. 8, or some components may be combined.
The embodiment of the application provides a computer readable medium, on which a computer program is stored, wherein the program is executed by a processor to implement the communication method for the internet of things device described in the above method embodiments.
The embodiment of the application provides a processor, and the processor is used for running a program, wherein when the program runs, the communication method for the internet of things device described in the above method embodiments is implemented.
The present application also provides a computer program product which, when executed on a data processing device, causes the data processing device to implement the communication method for an internet of things device described in the above method embodiments.
In addition, the electronic device, the processor, the computer-readable medium, or the computer program product provided in the foregoing embodiments of the present application may be all used for executing the corresponding method provided above, and therefore, the beneficial effects achieved by the electronic device, the processor, the computer-readable medium, or the computer program product may refer to the beneficial effects in the corresponding method provided above, and are not described herein again.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, which include both non-transitory and non-transitory, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only for the purpose of illustrating the preferred embodiments of the present application and the technical principles applied, and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. The scope of the invention according to the present application is not limited to the specific combinations of the above-described features, and may also cover other embodiments in which the above-described features or their equivalents are arbitrarily combined without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (14)
1. A communication method for an Internet of things device, the method comprising:
acquiring the communication quality and the communication guiding duration of each communication time point in a communication period;
determining an available communication duration within the communication period based on the power consumption of the Internet of things device;
performing communication arbitration according to the communication quality, the guide communication duration and the available communication duration to obtain an arbitration result; and
and determining whether to network or not according to the judgment result.
2. The method of claim 1,
the acquiring the communication quality and the guiding communication duration of each communication time point in the communication period comprises:
the communication quality and the guiding communication duration of each communication time point in a communication period are obtained according to a prediction model, wherein each communication time point in the communication period is used as an input feature, the communication quality and the guiding communication duration of each communication time point in the communication period are used as output features, and the prediction model is trained.
3. The method of claim 2, further comprising:
updating the prediction model using a result of arbitration for each communication time point within the communication cycle as a learning sample.
4. The method of claim 1, wherein determining the available communication duration within the communication cycle based on the power consumption of the internet of things device comprises:
acquiring a corresponding relation between the total communication duration and the power consumption of the Internet of things equipment through an energy consumption test;
according to the corresponding relation, under the condition that the power consumption of the Internet of things equipment is guaranteed, the average communicable time length T seconds/day of the Internet of things equipment is determined, wherein T is larger than 0;
judging whether the current communication time point is a new day or not, and if so, increasing the total communication time length of the equipment by T seconds; and
and determining the available communication time length according to the remaining communication time length before the communication and the actual communication time length of the communication.
5. The method of any of claims 1-4, wherein arbitrating communication according to the communication quality, the length of the pilot communication, and the length of the available communication comprises:
and determining M future communication time points with communication quality higher than that of the current communication time point in the communication period and Z future communication time points with communication quality equal to that of the current communication time point, wherein M is more than or equal to 0 and less than or equal to N, Z is more than or equal to 0 and less than or equal to N, and N represents the number of all communication time points in the communication period.
6. The method of claim 5, wherein the method comprises:
when M is larger than or equal to 1, determining the priority according to the communication quality of M future communication time points;
allocating time length to the M future communication time points according to the priority;
determining whether the remaining duration of the available communication duration minus the total communication duration of the M future communication time points is greater than the pilot communication duration of the current communication time point.
7. The method of claim 6, wherein the method comprises:
when Z =0 and the remaining duration is greater than the duration of the guided communication at the current communication time point, determining that the arbitration result is communication;
and when the Z is more than or equal to 1 and the residual time length is more than the communication guiding time length of the current communication time point, calculating the communication probability of the current communication time point and determining the judgment result in a random number mode.
8. The method of claim 5, wherein the method comprises:
when M =0, a communication probability of the current communication time point is calculated, and the arbitration result is determined in a random number manner.
9. The method according to any of claims 1 to 4, wherein the communication period is 7 days, 3 communication time points per day.
10. The method of any one of claims 1 to 4, wherein the Internet of things device comprises at least one of a smart lock, a smart safe, a smart meter, a smart water meter, a smart medical device, a smart roadside device, and a wearable device.
11. A communication apparatus for an Internet of things device, the apparatus comprising:
the acquisition module is used for acquiring the communication quality and the communication guiding duration of each communication time point in a communication period;
a determining module, configured to determine an available communication duration in the communication cycle based on power consumption of the internet of things device;
the arbitration module is used for carrying out communication arbitration according to the communication quality, the guide communication time length and the available communication time length to obtain an arbitration result; and
the arbitration module is also used for determining whether to network or not according to the arbitration result.
12. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1 to 10.
13. A processor for running a program, wherein the program when run implements the method of any one of claims 1 to 10.
14. An internet of things device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-10.
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