基于自适应控制策略的WSN节点能量优化  

Energy Optimization of WSN Work Node Based on Adaptive Control Strategy

作　　者：邵凌峰 杨俊杰 方济城 朱彬斌 陈明磊 SHAO Ling-feng;YANG Jun-jie;FANG Ji-cheng;ZHU Bin-bin;CHENMing-lei(School of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200000,China)

机构地区：[1]上海电力大学电子与信息工程学院,上海200000

出　　处：《控制工程》2020年第12期2199-2203,共5页Control Engineering of China

摘　　要：现存的可充电无线传感器网络多使用光伏电池供电,但光伏能量具有不稳定、不可控的特性,不可避免地使传感器网络的生存寿命受到限制。为了提高传感器网络系统能量效率并延长网络的存活时间,提出一种基于贪心选择的自适应控制策略,并应用于无线传感器网络(Wireless Sensor Network,WSN)上的能量策略优化。单个节点根据电源能量、光伏补充功耗以及工作功耗来自适应地选择是否启用休眠调度,从而实现由单节点更长时间存活到网络更长时间存活的目的。仿真结果表明,所提出的算法能在一定条件下降低节点平均能耗,实现能量输入与能量输出之间的相对平衡。Most of the existing rechargeable wireless sensor networks are powered by photovoltaic cells.But photovoltaic energy is unstable and uncontrollable,which limits the life of wireless sensor networks inevitably.In order to improve the energy efficiency of sensor network system and prolong the survival time of the network,an adaptive control strategy based on greedy choice is proposed and applied to the energy strategy optimization of wireless sensor network(WSN).The single node chooses whether to enable sleep scheduling according to the power supply energy,photovoltaic supplementary power and working power adaptively,so as to realize the purpose of its longer survival from a single node to the whole network.The simulation results show that the proposed algorithm can reduce the average energy consumption of nodes under certain conditions and realize the relative balance between energy input and energy output.

关 键 词：无线传感器网络 实时感知 自适应 休眠调度 时延 

分 类 号：TK519[动力工程及工程热物理—热能工程]