Neighbor node level power control algorithm for WSNs based on single nerve cell PID

HE Shi-jun; XIE Sheng-dong; XIONG Zhong-min; TANG Ying-li; LI Yu

doi:10.13873/J.1000-9787(2015)09-0145-03

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Neighbor node level power control algorithm for WSNs based on single nerve cell PID

更新时间：2025-09-11

- Neighbor node level power control algorithm for WSNs based on single nerve cell PID
- Vol. 34, Issue 9, Pages: 145-147(2015)
- 作者机构：
  
  上海海洋大学信息学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)09-0145-03
  CLC： TN929.5;TP212.9
- Published：2015
- 稿件说明：
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[1]何世钧,谢圣东,熊中敏,唐莹莉,李煜.基于单神经元PID的WSNs邻居节点级功率控制算法[J].传感器与微系统,2015,34(09):145-147.

HE Shi-jun, XIE Sheng-dong, XIONG Zhong-min, et al. Neighbor node level power control algorithm for WSNs based on single nerve cell PID[J]. 2015, 34(9): 145-147.
[1]何世钧,谢圣东,熊中敏,唐莹莉,李煜.基于单神经元PID的WSNs邻居节点级功率控制算法[J].传感器与微系统,2015,34(09):145-147. DOI： 10.13873/J.1000-9787(2015)09-0145-03.

HE Shi-jun, XIE Sheng-dong, XIONG Zhong-min, et al. Neighbor node level power control algorithm for WSNs based on single nerve cell PID[J]. 2015, 34(9): 145-147. DOI： 10.13873/J.1000-9787(2015)09-0145-03.

摘要

针对无线传感器网络（WSNs）中功率控制算法不能实时地调整节点功率和能量消耗较大等问题

提出了一种基于单神经元PID的邻居节点级功率控制算法。该算法结合WSNs传输功率模型

通过实时地控制邻居节点的数量

调整每个节点的功率

动态控制网络的能耗。仿真结果表明:该算法能根据网络连通性要求调整传感器节点的功率

实时性好

收敛速度快

有效地降低了网络的整体能耗。

Abstract

Aiming at problem that power control algorithm for wireless sensor networks（ WSNs） can not real time adjust transmission power of nodes and large energy consumption

a neighbor node level power control algorithm based on single nerve cell PID is proposed. The algorithm adopts WSNs transmission power model

and adjusts the transmission power of each node by real time controlling number of neighbor nodes

so as to control energy consumption of the network dynamically. Simulation results show that the algorithm can adjust transmission power of sensor node according to connectivity requirement of the network

and the algorithm has good real-time performance

fast convergence rate

and can reduce the overall energy consumption of the network effectively.

关键词

Keywords

references

基于RSSI校正的无线传感器网络定位算法 [J]. 文春武,宋杰,姚家振. 传感器与微系统 . 2014(12)

温室无线传感器网络节点发射功率自适应控制算法 [J]. 徐立鸿,早明华,蔚瑞华,林维威. 农业工程学报 . 2014(08)

突发性链路感知的自适应链路质量估计方法 [J]. 黄庭培,李栋,张招亮,崔莉. 通信学报 . 2012(06)

无线传感器网络自适应功率控制策略 [J]. 赵学健,庄毅,赵洁,薛佟佟. 电子与信息学报 . 2010(09)

基于PID算法的无线传感器网络传输功率控制研究 [J]. 张建辉,申兴发,陈积明,孙优贤. 传感技术学报 . 2007(01)

工业无线网络功率控制策略研究 [D]. 李巧. 西南大学 2012

先进PID控制MATLAB仿真[M]. 电子工业出版社 , 刘金琨著, 2004

The Number of Neighbors Needed for Connectivity of Wireless Networks [J] . Feng Xue,P.R. Kumar. Wireless Networks . 2004 (2)

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