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CN-121985401-A - Wireless node transmitting power self-adaptive adjustment method, medium and terminal

CN121985401ACN 121985401 ACN121985401 ACN 121985401ACN-121985401-A

Abstract

The invention is suitable for the technical field of wireless communication, and relates to a wireless node transmitting power self-adaptive adjustment method, medium and terminal, wherein the RSSI signal strength (active pre-judgment interval) and the communication success rate (passive verification quality) of the invention avoid single index misjudgment and adapt to complex dynamic environment; the invention can filter instantaneous interference fluctuation, reduce invalid power adjustment times, reduce energy consumption and improve stability, and has the advantages of no need of coordination of a central node, independent completion of parameter calculation and power adjustment of each node, small response delay, and avoidance of communication interruption (lower limit protection) and channel interference (upper limit protection) caused by extreme power through upper and lower limit threshold values and adjustment step length control. The invention solves the problems of larger energy consumption and lower reliability in the wireless node power control in the prior art, and greatly reduces the energy consumption while guaranteeing the communication reliability.

Inventors

  • ZHOU WENKE
  • HU ZEXIN
  • XIAO CHANGMIN
  • YANG MIAO

Assignees

  • 威胜信息技术股份有限公司

Dates

Publication Date
20260505
Application Date
20251231

Claims (10)

  1. 1. The self-adaptive adjustment method for the transmitting power of the wireless node is characterized by comprising the following steps: S10, calling out factory preset parameters, and establishing communication connection with surrounding nodes by using default transmitting power Pwr_ { default }; S20, configuring core adjustment parameters, including an RSSI threshold Thr_ { RSSI }, a communication success rate threshold Thr_ { succ }, an exponential smoothing coefficient a, a power adjustment step length P_ step, a power upper limit Pwr_ { max } and a power lower limit Pwr_ { min }, continuous detection times k, and stable monitoring time periods t_1 and t_2; S30, acquiring RSSI values of neighbor nodes in real time through a wireless module in the communication process, if the RSSI values of the continuous k times of sampling are all larger than an RSSI threshold Thr_ { RSSI }, reducing the current transmitting power Pwr_ { current } by P_step, ensuring that the adjusted new power Pwr_ { new } is not smaller than Pwr_ { min }, and maintaining stable communication for the duration of t_1; S40, the node records the communication state through data frame interaction, calculates the communication success rate S (t) =a x (t) + (1-a) S (t-1) in real time by adopting an exponential smoothing method, wherein x (t) is the communication success state at the moment t, S (t-1) is the smoothing success rate at the last moment, and if the calculated S (t) is smaller than Thr { succ } and the state lasts for a period of t_2, the current transmitting power Pwr_ { current } is increased by P_step, and the adjusted power is ensured not to exceed Pwr { max }; and S50, periodically repeating the steps S20 to S30 by the node to realize the self-adaptive adjustment of the transmitting power.
  2. 2. The adaptive adjustment method of wireless node transmission power according to claim 1, wherein in S10, the transmission power pwr_ { default } is in a range of 4-16dBm.
  3. 3. The method according to claim 1, wherein in S20, the RSSI threshold thr_ { RSSI } is in a range of-80 to-60 dBm, the communication success rate threshold thr_ { succ } is in a range of 80% -95%, the exponential smoothing coefficient a is in a range of 0.2-0.5, the power adjustment step p_ step is in a range of 1-3 dBm, the power upper limit pwr_ { max } is not more than 16dBm, the power lower limit pwr_ { min } is not less than 4dBm, the continuous detection frequency k is in a range of 3-5 times, the stable monitoring time period t_1 is 5S, and the stable monitoring time period t_2 is 10S.
  4. 4. The adaptive adjustment method of wireless node transmission power according to claim 1, wherein in S30, the sampling frequency is 1Hz.
  5. 5. The method for adaptively adjusting transmit power of a wireless node as in claim 4, wherein, the adjusted new power pwr_ { new } = pwr_ { current } -P _ step, if pwr_ { new } < pwr_ { min }, then p_ { current } is kept unchanged.
  6. 6. The adaptive adjustment method of transmission power of a wireless node according to claim 1, wherein in S40, an initial value of a communication success rate is set to 100%.
  7. 7. The method for adaptively adjusting transmit power of a wireless node as in claim 6, wherein, the adjusted new power pwr_new =pwr_current +p_step, and if p_new =p_max }, p_current =p_max }, then p_current =p_max }, is maintained.
  8. 8. The adaptive adjustment method of wireless node transmission power according to claim 1, wherein in S50, if the communication success rate is still lower than thr_ succ after 3 consecutive power adjustments, a fault alarm is triggered and p_max communication is maintained to maintain the basic connection.
  9. 9. A computer readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 8.
  10. 10. An electronic terminal is characterized by comprising a processor and a memory; The memory is configured to store a computer program, and the processor is configured to execute the computer program stored in the memory, to cause the terminal to perform the method according to any one of claims 1 to 8.

Description

Wireless node transmitting power self-adaptive adjustment method, medium and terminal Technical Field The present invention belongs to the technical field of wireless communications, and in particular, relates to a wireless node transmitting power adaptive adjustment method, medium and terminal. Background In a wireless communication system, control of node transmit power directly affects energy consumption, communication reliability, and channel interference. In the prior art, most wireless nodes adopt fixed transmission power for communication, namely, when the node spacing is smaller, the excessive power can cause energy waste and channel congestion, and when the node spacing is increased or the environmental interference is enhanced, the communication is easily interrupted due to the fixed low power. Although the partial improvement scheme introduces RSSI signal strength as an adjustment basis, the partial improvement scheme has obvious defects that firstly, the method only depends on an RSSI single index and error adjustment caused by instantaneous signal fluctuation is not considered, secondly, dynamic monitoring of communication success rate is lacked, the problem of communication quality reduction in a complex environment cannot be solved, thirdly, the partial scheme adopts centralized control, central node coordination is needed, the response speed is slow, and the method depends on network topology stability. In addition, the existing scheme related to the communication success rate mostly adopts simple mean value statistics, instantaneous interference cannot be filtered, power adjustment is frequent, and energy consumption is further increased. The patent application with publication number CN101354435A provides a self-positioning method of a sensor network node based on a distance order relation, which belongs to the technical field of self-positioning of wireless sensor networks and is characterized by sequentially comprising the steps of node distribution, route establishment and data transmission, network connection information extraction, node relative coordinate positioning, absolute coordinate transformation, computer output result and the like, wherein when the node is positioned relative to the coordinate, an initial estimated topology of the node position is obtained by utilizing the distance order relation in the shortest path distance, an optimal node distance matrix and a log likelihood function of an inverse Euclidean distance serving as the initial estimated topology are established based on the initial estimated topology, and the optimal distance matrix and the Euclidean distance are alternately iterated by using an adjacent module comparison method. In the patent application, the nodes communicate through fixed transmitting power, so that the energy consumption is high, the communication is unstable, and the defects same as those in the prior art exist. Therefore, how to provide a method for adaptively adjusting the power of a wireless node, which ensures the reliability of communication and has low energy consumption, is a problem to be solved by those skilled in the art. Disclosure of Invention Aiming at the defects of the prior art, the invention aims to provide a wireless node transmitting power self-adaptive adjustment method so as to solve the problems of larger energy consumption and lower reliability in wireless node power control in the prior art, and further provides a wireless node transmitting power self-adaptive adjustment medium and a terminal. In order to solve the technical problems, the invention adopts the following technical scheme: In a first aspect, the present invention provides a method for adaptively adjusting transmission power of a wireless node, including the following steps: S10, calling out factory preset parameters, and establishing communication connection with surrounding nodes by using default transmitting power Pwr_ { default }; S20, configuring core adjustment parameters, including an RSSI threshold Thr_ { RSSI }, a communication success rate threshold Thr_ { succ }, an exponential smoothing coefficient a, a power adjustment step length P_ step, a power upper limit Pwr_ { max } and a power lower limit Pwr_ { min }, continuous detection times k, and stable monitoring time periods t_1 and t_2; S30, acquiring RSSI values of neighbor nodes in real time through a wireless module in the communication process, if the RSSI values of the continuous k times of sampling are all larger than an RSSI threshold Thr_ { RSSI }, reducing the current transmitting power Pwr_ { current } by P_step, ensuring that the adjusted new power Pwr_ { new } is not smaller than Pwr_ { min }, and maintaining stable communication for the duration of t_1; S40, the node records the communication state through data frame interaction, calculates the communication success rate S (t) =a x (t) + (1-a) S (t-1) in real time by adopting an exponential smoothing method, wherein x (t) is th