CN113114719A - Self-adaptive adjustment method and device for data transmission of Internet of things - Google Patents
Self-adaptive adjustment method and device for data transmission of Internet of things Download PDFInfo
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Abstract
The embodiment of the application discloses a method and a device for adaptively adjusting data transmission of the Internet of things. According to the technical scheme provided by the embodiment of the application, corresponding uplink signal quality records are generated according to uplink data sent by node equipment, the network quality scores of the current node equipment are determined based on the specified number of the uplink signal quality records, a preset adjusting strategy table is inquired based on the network quality scores, and corresponding adjusting parameters are determined. And finally, generating an adjusting instruction based on the adjusting parameter, and issuing the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment. By adopting the technical means, the stability of data transmission can be ensured and the remote communication quality can be improved by adaptively adjusting the sending parameters of the uplink data. In addition, according to the embodiment of the application, when the node equipment fails to send the uplink data, the stability of uplink data transmission can be further ensured by adaptively adjusting the uplink data transmission parameters.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a method and a device for adaptively adjusting data transmission of the Internet of things.
Background
The low-power-consumption wide area internet of things (LPWAN) is an internet of things technology for remote communication under low battery power consumption, and internet of things equipment is powered by a battery, so that long-distance information transmission of dozens of kilometers can be realized. At present, the low power consumption wan technology mainly uses a fixed transmission power and a fixed data rate to transmit data, and when the communication network is poor, the frequency channel is usually changed to retransmit a data packet, so as to ensure the stability and success rate of data transmission.
However, in a communication scenario using a large number of node devices, the node devices transmitting data at uniform transmission power and data rate may affect the stability of data transmission. Moreover, when the communication distance is long and data transmission is retransmitted, the fixed data rate, the transmission power and the limited frequency point can greatly reduce the communication quality, and further cause data transmission failure.
Disclosure of Invention
The embodiment of the application provides an Internet of things data transmission adaptive adjustment method and device, which can adaptively adjust data transmission and guarantee the stability of data transmission.
In a first aspect, an embodiment of the present application provides an internet of things data transmission adaptive adjustment method, including:
generating corresponding uplink signal quality records according to uplink data sent by node equipment, and determining the network quality score of the current node equipment based on the specified number of the uplink signal quality records;
inquiring a preset adjusting strategy table based on the network quality scores to determine corresponding adjusting parameters, wherein the adjusting strategy table sets the corresponding adjusting parameters in advance according to score intervals with different network quality scores;
and generating an adjusting instruction based on the adjusting parameter, and sending the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment.
Further, determining a network quality score of the current node device based on a specified number of the uplink signal quality records includes:
counting the average signal-to-noise ratio and the average signal receiving intensity based on the specified number of uplink signal quality records;
and calculating the corresponding network quality score by using a preset network quality score calculation formula according to the average signal-to-noise ratio and the average signal receiving strength.
Further, the network quality score calculation formula is as follows:
Score＝1/2*RSSI+SNR
wherein, Score is the network quality Score, RSSI is the average signal received strength, and SNR is the average signal-to-noise ratio.
Further, the adjustment parameters include a data rate, a transmit power, and a spreading factor corresponding to the network quality fraction.
Further, after sending the adjustment instruction to the node device for the next uplink data transmission of the node device, the method further includes:
and comparing the uplink signal quality records generated correspondingly according to the next uplink data transmission with the adjustment strategy table, and correcting the adjustment strategy table according to the comparison result.
In addition, another method for adaptively adjusting data transmission of the internet of things is further provided in the embodiments of the present application, and includes:
sending uplink data to a server side based on current adjusting parameters, wherein the adjusting parameters comprise data rate, transmitting power and spreading factor;
and receiving the acknowledgement frame of the uplink data in the corresponding downlink window, circularly inquiring a preset adjusting strategy table according to the current adjusting parameter if the acknowledgement frame is not received, updating the current adjusting parameter based on the inquiring result and retransmitting the uplink data until the acknowledgement frame is received.
Further, updating the current adjustment parameter based on the query result includes:
and sequentially changing the spreading factor based on the query result, reducing the data rate and increasing the transmitting power.
In a second aspect, an embodiment of the present application provides an internet of things data transmission adaptive adjustment apparatus, including:
the recording module is used for generating corresponding uplink signal quality records according to uplink data sent by the node equipment and determining the network quality score of the current node equipment based on the specified number of the uplink signal quality records;
the query module is used for querying a preset adjustment strategy table based on the network quality scores and determining corresponding adjustment parameters, wherein the adjustment strategy table is used for setting the corresponding adjustment parameters according to score intervals with different network quality scores in advance;
and the adjusting module is used for generating an adjusting instruction based on the adjusting parameter, sending the adjusting instruction to the node equipment and transmitting the adjusting instruction to the node equipment for the next uplink data transmission.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a memory and one or more processors;
the memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the internet of things data transmission adaptive adjustment method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the method for adaptive adjustment of data transmission of internet of things according to the first aspect.
According to the embodiment of the application, corresponding uplink signal quality records are generated according to uplink data sent by node equipment, the network quality scores of the current node equipment are determined based on the specified number of the uplink signal quality records, a preset adjusting strategy table is inquired based on the network quality scores, and corresponding adjusting parameters are determined. And finally, generating an adjusting instruction based on the adjusting parameter, and issuing the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment. By adopting the technical means, the stability of data transmission can be guaranteed by adaptively adjusting the sending parameters of the uplink data, the condition that the long-distance uplink data transmission is unstable and even frequently retransmitted is avoided, the service life of a battery is prolonged, and the long-distance communication quality is improved.
In addition, according to the embodiment of the application, when the node equipment fails to send the uplink data, the stability of uplink data transmission can be further ensured by adaptively adjusting the uplink data transmission parameters.
Drawings
Fig. 1 is a flowchart of a method for adaptively adjusting data transmission of an internet of things according to an embodiment of the present application;
fig. 2 is a flow chart of network quality score calculation in the first embodiment of the present application;
fig. 3 is a flow chart of adaptive adjustment of adjustment parameters during data transmission according to one embodiment of the present application;
FIG. 4 is a schematic diagram of an adjustment policy table according to an embodiment of the present application;
fig. 5 is a flowchart of another method for adaptive adjustment of data transmission of the internet of things according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an internet of things data transmission adaptive adjustment device according to a second embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The application provides an Internet of things data transmission self-adaptive adjusting method, which aims to improve the stability of data transmission and guarantee the communication quality of remote transmission of uplink data by self-adaptively adjusting the data rate and the transmitting power of the uplink data transmission. Compared with the traditional uplink data transmission mode, when the node equipment sends uplink data, the node equipment carries out wireless communication according to the set transmission power and data rate, and then receives an acknowledgement frame from the server, so that the communication is successful. However, when the communication distance is long or the network condition is poor, the situation that data transmission fails and retransmission is required often occurs, and when retransmission is performed again, the node device changes the frequency channel and performs communication again at the transmission power and the data rate of the uplink data transmission of the previous time. Since the node device performs wireless communication at a fixed transmission power and a fixed data rate, the transmission power and the data rate cannot be allocated as required, and in a communication scene with a long distance, the fixed data rate, the transmission power and the limited frequency point can greatly reduce the communication quality to cause failure of uplink data transmission.
The first embodiment is as follows:
fig. 1 is a flowchart of an internet of things data transmission adaptive adjustment method provided in an embodiment of the present application, where the internet of things data transmission adaptive adjustment method provided in this embodiment may be executed by an internet of things data transmission adaptive adjustment device, the internet of things data transmission adaptive adjustment device may be implemented in a software and/or hardware manner, and the internet of things data transmission adaptive adjustment device may be composed of two or more physical entities or may be composed of one physical entity. Generally, the data transmission adaptive adjustment device of the internet of things can be a server side of the internet of things system.
The following description will be given by taking the data transmission adaptive adjustment device of the internet of things as an example of a main body for executing the data transmission adaptive adjustment method of the internet of things. Referring to fig. 1, the adaptive adjustment method for data transmission of the internet of things specifically includes:
s110, generating corresponding uplink signal quality records according to uplink data sent by the node equipment, and determining the network quality score of the current node equipment based on the specified number of the uplink signal quality records.
Specifically, when the node device sends the uplink data to the server, the corresponding server end performs signal quality recording corresponding to the uplink data after receiving the uplink data, and generates a corresponding uplink signal quality record. Each uplink data is correspondingly recorded, the uplink signal quality record mainly comprises signal-to-noise ratio and signal receiving strength information in the data transmission process, and the communication quality of the current corresponding node equipment can be determined based on the information, so that the self-adaptive adjustment of related data transmission parameters can be conveniently carried out. In the prior art, there are many ways to measure the signal-to-noise ratio and the signal reception strength information of data transmission, and this embodiment of the present application is not subject to fixed limitation and is not described herein repeatedly.
Further, based on the uplink signal quality record, the embodiment of the present application correspondingly performs network quality score calculation on the current node device, so as to evaluate the communication quality between the current node device and the server, and further determine whether to perform adaptive adjustment on the data transmission parameter according to the network quality score. Referring to fig. 2, a flow chart of calculating a network quality score is provided, the flow of calculating the network quality score includes:
s1101, recording and counting an average signal-to-noise ratio and an average signal receiving strength based on the specified quantity of the uplink signal quality;
and S1102, calculating the corresponding network quality score by using a preset network quality score calculation formula according to the average signal-to-noise ratio and the average signal receiving strength.
In the embodiment of the application, the signal-to-noise ratio and the signal strength information corresponding to the five latest uplink data are extracted according to the five latest uplink signal quality records obtained by the node device, and the average signal-to-noise ratio and the average signal receiving strength are calculated based on the five signal-to-noise ratios and the signal strength information. And then based on the average signal-to-noise ratio and the average signal receiving intensity, the network quality score can be calculated by using a preset network quality score calculation formula. The network quality fraction calculation formula is as follows:
Score＝1/2*RSSI+SNR
wherein, Score is the network quality Score, RSSI is the average signal received strength, and SNR is the average signal-to-noise ratio.
Based on the network quality score calculation formula, a network quality score for quantifying the communication quality of the current node equipment can be obtained. It should be noted that, the network quality score calculation formula is set according to the actual communication quality evaluation requirement, and according to the actual requirement, a corresponding network quality score calculation formula may also be set adaptively.
S120, inquiring a preset adjusting strategy table based on the network quality scores, and determining corresponding adjusting parameters, wherein the adjusting strategy table sets the corresponding adjusting parameters in advance according to the score intervals with different network quality scores.
Referring to fig. 3, based on the step S110, performing signal quality recording on the received uplink data, calculating a network quality score corresponding to the uplink signal quality recording, and according to a calculated network quality score value, in the embodiment of the present application, whether to update the adjustment parameter is determined by querying a preset adjustment policy table, so that an adjustment instruction is generated when the parameter needs to be updated, and the adjustment instruction is issued to the node device through the MAC instruction to update the parameter. Specifically, referring to fig. 4, a schematic diagram of an adjustment policy table according to an embodiment of the present application is provided. Wherein the adjustment parameters include a data rate, a transmit power, and a spreading factor corresponding to the network quality fraction. Before that, the node device performs transmission of uplink data based on initial adjustment parameters (i.e., initial data rate, transmission power, and spreading factor). And after the network quality score value is determined according to the uplink signal quality record, inquiring an adjustment strategy table based on the network quality score value, and determining a score interval in which the network quality score falls. For example, an average signal-to-noise ratio SNR is-9, an average signal received strength RSSI is-85, a spreading factor SF is 10, and a data rate of uplink data transmission by the current node device is DR2 according to five uplink signal quality records. Then, according to the network quality Score calculation formula, Score (-85) × 1/2+ (-9) — 51.5 is calculated. If the network quality score of-51.5 "is determined to fall into the score interval of-40.5, -54.5 in the adjustment policy table, it indicates that the relevant parameters (i.e. data rate, transmission power and spreading factor) of the uplink data transmission of the node device need to be updated currently to guarantee the communication quality of the node device. Specifically, the server selects the spreading factor SF to be 9 and the data rate to be DR3 according to the data corresponding to the adjustment policy table, and determines that the maximum transmission Power is 17dBm, thereby determining the adjustment parameter.
And S130, generating an adjusting instruction based on the adjusting parameter, and sending the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment.
Further, after the adjustment parameter is determined, referring to fig. 3, in the embodiment of the present application, an adjustment instruction is correspondingly generated according to the adjustment parameter, and the adjustment instruction is carried by the MAC command, and when waiting for the next downlink window to arrive, the adjustment parameter is sent to the node device. The node equipment can correspondingly update related parameters based on the MAC command, set the spreading factor of the node equipment to SF9, set the adjustment rate to DR3, adjust the data rate of the next uplink message to DR3, adjust the maximum transmitting power to 17dBm, adjust the transmitting power of the node equipment to the maximum as possible, and then reply Ans to the server side to complete self adjustment parameter updating. And when uplink data transmission is subsequently carried out, carrying out uplink data transmission based on the updated adjusting parameters. It can be understood that, the embodiment of the application obtains the signal receiving strength and the signal-to-noise ratio according to the factors of the communication environment and the communication distance, and further, the node equipment with the relatively short communication distance uses the relatively high-speed communication, the radio frequency transmission time is short, the power consumption is low, and the occupied channel amount is small; the node equipment with a longer communication distance uses lower-speed communication, the radio frequency transmission time is long, the power consumption is high, the occupied channel amount is large, and the communication quality can be guaranteed. Therefore, the self-adaptive adjustment of uplink data transmission under different communication distances is guaranteed, and the stability of the uplink data transmission is guaranteed.
In one embodiment, the embodiment of the present application further compares the adjustment policy table according to the uplink signal quality record generated corresponding to the next uplink data transmission, and corrects the adjustment policy table according to the comparison result. It can be understood that, after determining the adjustment parameter according to the adjustment policy table and updating the adjustment parameter to the node device, the node device may send uplink data based on the corresponding adjustment parameter when transmitting uplink data for the next time, if it is detected that the uplink signal quality record indicates that the signal-to-noise ratio and/or the signal reception strength do not meet the ideal requirement, it indicates that the node device cannot improve the communication quality of the current node device by sending uplink data according to the updated adjustment parameter, and it is necessary to adaptively modify the settings of the data rate and the transmission power value in the adjustment policy table, so as to ensure that the communication quality of uplink data transmission becomes more stable after updating the adjustment parameter.
On the other hand, the first embodiment of the application also provides another method for adaptively adjusting data transmission of the internet of things, and an execution main body of the method for adaptively adjusting data transmission of the internet of things can be node equipment of a system of the internet of things. Referring to fig. 5, the data transmission adaptive adjustment method for the internet of things includes:
s140, sending uplink data to a server side based on current adjusting parameters, wherein the adjusting parameters comprise data rate, transmitting power and spreading factor;
s150, receiving the confirmation frame of the uplink data in the corresponding downlink window, circularly inquiring a preset adjusting strategy table according to the current adjusting parameter if the confirmation frame is not received, updating the current adjusting parameter based on the inquiring result and retransmitting the uplink data until the confirmation frame is received.
Specifically, unlike the adaptive adjustment of data transmission performed by the server in the steps S110 to S130, the embodiment of the present application further performs data retransmission monitoring and parameter updating by the node device. Specifically, when the node device sends uplink data, the node device sends the uplink data according to preset relevant parameters (i.e., data rate, transmission power, and spreading factor). The uplink data needs the server end to reply correspondingly, and a corresponding acknowledgement frame is returned to indicate that the server end receives the corresponding uplink data. When the network environment around the node device is poor, the node device cannot monitor the acknowledgement frame of the received uplink data in the corresponding downlink window, and at this time, the uplink data will have a packet loss condition, and uplink data retransmission needs to be performed. At this time, the node device transmits uplink data at a new data rate, and the new data rate is lower than the previous data rate. Specifically, referring to fig. 4, in the adjustment policy table, DR denotes a data rate, SF denotes a spreading factor, and different data rates correspond to the spreading factor, that is, DR0 — SF12, DR1 — sf11. Generally, when the node device sends uplink data for the first time, the node device transmits at a fixed data rate, when the uplink data needs to be retransmitted, the node device transmits at a data rate of Max (DR-1,0) for the second time, and so on, and if 8 retransmissions are sent, the network status is not available. For example, after the node device sends an uplink data at data rate DR4, if a downlink acknowledgement frame is not received, the node device determines an adjustment parameter by querying the adjustment policy table, and retransmits the uplink data at the next retransmission with a data rate DR3 (i.e., MAX (DR4-1, 0)), a spreading factor SF of 9, and a maximum transmit power of 17 dBm. And by analogy, if the downlink confirmation frame is not received again, continuously inquiring the adjustment strategy table, sequentially reducing the data rate, and improving the transmitting power to ensure the communication quality of the communication at a longer distance.
Data communication quality is improved by self-adaptively adjusting data rate, transmitting power and spreading factor, and parameters such as data rate and the like are dynamically adjusted according to real-time communication quality detection. Wherein, the short-distance communication adopts high data rate transmission, which can shorten the air time. When the remote communication is abnormal, the communication quality can be improved by adjusting the parameters. In terms of energy consumption, determining the maximum transmit power and data rate of a node device based on the communication quality of the communication link may improve battery-powered life.
Generating corresponding uplink signal quality records according to uplink data sent by the node equipment, determining the network quality score of the current node equipment based on the specified number of uplink signal quality records, querying a preset adjustment strategy table based on the network quality score, and determining corresponding adjustment parameters. And finally, generating an adjusting instruction based on the adjusting parameter, and issuing the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment. By adopting the technical means, the stability of data transmission can be guaranteed by adaptively adjusting the sending parameters of the uplink data, the condition that the long-distance uplink data transmission is unstable and even frequently retransmitted is avoided, the service life of a battery is prolonged, and the long-distance communication quality is improved.
In addition, according to the embodiment of the application, when the node equipment fails to send the uplink data, the stability of uplink data transmission can be further ensured by adaptively adjusting the uplink data transmission parameters.
Example two:
on the basis of the foregoing embodiments, fig. 6 is a schematic structural diagram of an internet of things data transmission adaptive adjustment device provided in the second embodiment of the present application. Referring to fig. 6, the data transmission adaptive adjustment device for the internet of things provided in this embodiment specifically includes: a recording module 21, a query module 22 and an adjustment module 23.
The recording module 21 is configured to generate a corresponding uplink signal quality record according to uplink data sent by a node device, and determine a network quality score of the current node device based on a specified number of the uplink signal quality records;
the query module 22 is configured to query a preset adjustment policy table based on the network quality score, and determine corresponding adjustment parameters, where the adjustment policy table sets the corresponding adjustment parameters in advance according to score intervals with different network quality scores;
the adjusting module 23 is configured to generate an adjusting instruction based on the adjusting parameter, and issue the adjusting instruction to the node device, so that the node device transmits uplink data next time.
Generating corresponding uplink signal quality records according to uplink data sent by the node equipment, determining the network quality score of the current node equipment based on the specified number of uplink signal quality records, querying a preset adjustment strategy table based on the network quality score, and determining corresponding adjustment parameters. And finally, generating an adjusting instruction based on the adjusting parameter, and issuing the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment. By adopting the technical means, the stability of data transmission can be guaranteed by adaptively adjusting the sending parameters of the uplink data, the condition that the long-distance uplink data transmission is unstable and even frequently retransmitted is avoided, the service life of a battery is prolonged, and the long-distance communication quality is improved.
In addition, according to the embodiment of the application, when the node equipment fails to send the uplink data, the stability of uplink data transmission can be further ensured by adaptively adjusting the uplink data transmission parameters.
The data transmission adaptive adjustment device for the internet of things provided by the second embodiment of the application can be used for executing the data transmission adaptive adjustment method for the internet of things provided by the first embodiment of the application, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an electronic device, and with reference to fig. 7, the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors in the electronic device may be one or more, and the number of memories in the electronic device may be one or more. The processor, memory, communication module, input device, and output device of the electronic device may be connected by a bus or other means.
The memory 32 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the data transmission adaptive adjustment method for the internet of things according to any embodiment of the present application (for example, a recording module, an inquiry module, and an adjustment module in the data transmission adaptive adjustment apparatus for the internet of things). The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 33 is used for data transmission.
The processor 31 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory, that is, the method for adaptively adjusting data transmission of the internet of things is realized.
The input device 34 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 35 may include a display device such as a display screen.
The electronic device provided by the embodiment can be used for executing the self-adaptive adjustment method for data transmission of the internet of things provided by the embodiment one, and has corresponding functions and beneficial effects.
Example four:
embodiments of the present application further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for adaptive adjustment of data transmission of internet of things, where the method for adaptive adjustment of data transmission of internet of things includes: generating corresponding uplink signal quality records according to uplink data sent by node equipment, and determining the network quality score of the current node equipment based on the specified number of the uplink signal quality records; inquiring a preset adjusting strategy table based on the network quality scores to determine corresponding adjusting parameters, wherein the adjusting strategy table sets the corresponding adjusting parameters in advance according to score intervals with different network quality scores; generating an adjusting instruction based on the adjusting parameter, and issuing the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present application is not limited to the method for adaptively adjusting data transmission of the internet of things as described above, and may also perform related operations in the method for adaptively adjusting data transmission of the internet of things provided in any embodiment of the present application.
The data transmission adaptive adjustment device for the internet of things, the storage medium and the electronic device provided in the above embodiments may execute the data transmission adaptive adjustment method for the internet of things provided in any embodiment of the present application, and reference may be made to the data transmission adaptive adjustment method for the internet of things provided in any embodiment of the present application without detailed technical details described in the above embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. A data transmission adaptive adjustment method for the Internet of things is characterized by comprising the following steps:
generating corresponding uplink signal quality records according to uplink data sent by node equipment, and determining the network quality score of the current node equipment based on the specified number of the uplink signal quality records;
inquiring a preset adjusting strategy table based on the network quality scores to determine corresponding adjusting parameters, wherein the adjusting strategy table sets the corresponding adjusting parameters in advance according to score intervals with different network quality scores;
and generating an adjusting instruction based on the adjusting parameter, and sending the adjusting instruction to the node equipment for the next uplink data transmission of the node equipment.
2. The adaptive adjusting method for data transmission of the internet of things as claimed in claim 1, wherein determining the network quality score of the current node device based on a specified number of the uplink signal quality records comprises:
counting the average signal-to-noise ratio and the average signal receiving intensity based on the specified number of uplink signal quality records;
and calculating the corresponding network quality score by using a preset network quality score calculation formula according to the average signal-to-noise ratio and the average signal receiving strength.
3. The adaptive adjusting method for data transmission of the internet of things according to claim 2, wherein the network quality score calculation formula is as follows:
Score＝1/2*RSSI+SNR
wherein, Score is the network quality Score, RSSI is the average signal received strength, and SNR is the average signal-to-noise ratio.
4. The adaptive data transmission adjusting method for the internet of things of claim 1, wherein the adjusting parameters comprise data rate, transmission power and spreading factor corresponding to the network quality fraction.
5. The adaptive adjusting method for data transmission of internet of things of claim 1, wherein after the adjusting instruction is issued to the node device for next uplink data transmission of the node device, the method further comprises:
and comparing the uplink signal quality records generated correspondingly according to the next uplink data transmission with the adjustment strategy table, and correcting the adjustment strategy table according to the comparison result.
6. A data transmission adaptive adjustment method for the Internet of things is characterized by comprising the following steps:
sending uplink data to a server side based on current adjusting parameters, wherein the adjusting parameters comprise data rate, transmitting power and spreading factor;
and receiving the acknowledgement frame of the uplink data in the corresponding downlink window, circularly inquiring a preset adjusting strategy table according to the current adjusting parameter if the acknowledgement frame is not received, updating the current adjusting parameter based on the inquiring result and retransmitting the uplink data until the acknowledgement frame is received.
7. The adaptive adjusting method for data transmission of the internet of things of claim 6, wherein updating the current adjusting parameter based on the query result comprises:
and sequentially changing the spreading factor based on the query result, reducing the data rate and increasing the transmitting power.
8. The utility model provides a thing networking data transmission self-adaptation adjusting device which characterized in that includes:
the recording module is used for generating corresponding uplink signal quality records according to uplink data sent by the node equipment and determining the network quality score of the current node equipment based on the specified number of the uplink signal quality records;
the query module is used for querying a preset adjustment strategy table based on the network quality scores and determining corresponding adjustment parameters, wherein the adjustment strategy table is used for setting the corresponding adjustment parameters according to score intervals with different network quality scores in advance;
and the adjusting module is used for generating an adjusting instruction based on the adjusting parameter, sending the adjusting instruction to the node equipment and transmitting the adjusting instruction to the node equipment for the next uplink data transmission.
9. An electronic device, comprising:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method for adaptive adjustment of data transmission for internet of things as recited in any one of claims 1-5.
10. A storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the internet of things data transmission adaptive adjustment method according to any one of claims 1 to 5.
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