Research On Multi-hop Energy Supplement Method Based On Clustering In Wireless Rechargeable Sensor Network

With the rapid development of modern electronic science and computer network technology,wireless sensor networks have gradually replaced wired data transmission and attracted wide attention.Wireless Rechargeable Sensor Networks(WRSN)is a kind of rechargeable sensor network that deploys sensor nodes in monitoring area to realize data transmission,intelligent computing and other functions.Sensor nodes are powered by batteries,which consume a lot of energy in the process of working.In order to prolong the network lifetime,wireless energy supplement technology has been identified as an effective solution to this problem.Multi-hop wireless charging can charge multiple nodes at the same time,which can effectively expand the charging distance and reduce the charging delay.It is very suitable for sensor networks with high node density.Based on multi-hop wireless rechargeable sensor network,this paper deeply analyses the process of energy replenishment from two stages,and proposes a multihop energy replenishment strategy based on clustering in wireless rechargeable sensor networks.The specific research process of this paper is as follows:(1)In multi-hop wireless charging,how to determine the stop position of mobile charging device for charging,which are anchor nodes,has a great impact on the performance of the whole charging system.In this paper,firstly,the minimum number of anchor nodes in the network is determined according to the effective charging distance of mobile charging device and the actual distribution of nodes.Secondly,the initial location of anchor nodes is selected according to the connectivity of the nodes.The simulation results show that the number of anchor nodes obtained by this method is superior to the number of randomly initialized anchor nodes.(2)On the basis of the above,clustering algorithm is used to optimize the final location of each anchor node,and a charging cluster is formed with each anchor node as the core.After determining the location of the anchor node,we propose an online charging scheme HNDLE-CB,which can better adapt to the dynamic energy consumption of the nodes in the network.The charging priority algorithm for calculating the node density-to-capacity ratio of the queue of power-deficient nodes in the service pool,which considers that the charging device takes precedence over the node with concentrated node density and less residual power to supplement energy.The results validate that the strategy will depress the charging cost of charging devices,effectively depress the network node inefficiency,and further enhance the network lifetime.