基于分簇结构的电池射频能量搜集和恢复策略

The Strategy for Scavenging and Recovering the Battery Energy Based on Clustering Structure Wireless Sensor Network

为提高传感器节点无线射频能量搜集效率和能量恢复效果,提出了一种无线传感器网络电池能量搜集和恢复策略.该策略在分簇网络结构下利用供能节点对搜能节点处可用无线射频能量的影响和不同分簇网络通信机制对电池不同状态进行调度,去除无用传输节点来提高无线射频能量搜集效率.在电池能量恢复方面采用一种改进的马尔科夫模型,根据电池非线性特性并考虑电池饱和门限状态,利用电池的占空期对电池能量进行恢复.实验结果表明在电池睡眠时间进行能量恢复与实际测量电池电量对比分析,电池的恢复能量与实际测量值之间相差在5%以内.另外,实验仿真验证了搜能节点周围传输能量节点数量为5时达到最佳值,这和理论证明的结果一致.所提出的分簇结构电池射频能量搜集和恢复策略能有效延长传感器网络生命周期.

In order to improve the efficiency of ratio frequenly（ RF） energy of the sensor nodes in wireless sensor network,a new strategy was proposed to handle the energy scavenging and recovering of battery. Based on a clustering network structure,the strategy utilized the influence of power supply nodes upon the RF energy available in the scavenging energy nodes to schedule different states of the battery. Through this,it was possible to remove useless transmitting nodes and to enhance the efficiency of RF energy. An improved Markov model was put forward to recover the battery power by using battery duty period,based on the nonlinear characteristic of battery and taking its saturate threshold state into account as well. The results showed that the gap between the values of measured energy and the recoveried energy is less than 5%. In addition,that the optimized node number of energy transfer around insearch nodes was found to be 5 by the simulation experiments. The results of the experiment and simulation showed that this new battery energy scavenging and recovering strategy can effectively extend the life cycle of sensor network.