Charging Path Planning And Research For Wireless Rechargeable Sensor Networks

With the rapid development of wireless charging technology and sensor technology,Wireless Rechargeable Sensor Networks(WRSN)has received widespread attention,the use of wireless charging technology for sensor network nodes replenish energy to overcome the harsh environment or human factors such as node energy is insufficient,thus ensuring the normal operation of the network.Due to the harsh and complex underwater environment,it is difficult for people to maintain and replace the batteries of the nodes of the underwater sensor network regularly,which leads to the network collapse of the node due to the exhaustion of battery energy,and the monitoring task of the underwater environment cannot be completed.Therefore,it is particularly important to use underwater wireless charging technology to supplement energy for underwater nodes to ensure the monitoring task of underwater WRSN.Although WRSN can guarantee the long-term survival of the network in theory,in actual use,the charging capacity of Wireless mobile Charging Equipment(WCE)is limited,so it is necessary to plan a reasonable charging path to complete the charging task of the node.Therefore,this article comprehensively considers the relevant influencing factors of the WCE charging path,and studies the corresponding single and dual WCE charging path planning for different network sizes,so as to minimize the failure rate of the charging nodes in the network and the longest network life.The specific work done in this article is as follows:(1)Aiming at the research on single WCE charging path planning for WRSN with small-scale monitoring,an algorithm of Max-Min Ant System and Charging Node Priority(MMAS-CNP)was proposed based on Node Charging Priority,the minimum energy threshold that could meet the normal working requirements of nodes was estimated when both WCE driving distance and charging capacity were limited,and then the charging priority between nodes was calculated.Based on this,the Charging path planning for a single WCE was designed by using the Max-Min Ant algorithm.Simulation results show that this method has longer network life and lower failure rate of charging nodes compared with several existing path planning algorithms.(2)Aiming at the research on dual WCE charging path planning for WRSN small and medium-sized monitoring,a Dual WCE Collaborative Charging algorithm based on node importance Level(DCCL)was proposed.This method firstly determined the most matching WCE of the charging nodes,and then replenishes energy for the node according to the charging sequence of the node's importance level,and determines the charging task of each WCE.When one of the WCEs completes the charging task and is in an idle state,the charging task of the other WCE can be shared,so as to realize the path planning of collaborative charging.Simulation results show that the proposed method can effectively reduce the failure rate of charging nodes and the mobile energy consumption rate of WCE.