Research On Routing Algorithm And Charging Strategy Of Wireless Rechargeable Sensor Network

With the development of "cloud computing,big data,Internet of things,mobile internet,artificial intelligence",wireless sensor network is applied into more fields.For example,in electric power system,wireless sensors are deployed in electric lines and equipments to collect data,so as to real-time monitor the operating condition of power grid.Wireless sensor network plays an important role in the construction of ubiquitous in the power Internet of things and strong power grid.At present,most sensor nodes are powered by batteries,which limits the network lifetime.And the application of wireless rechargeable sensor network makes up for this deficiency to some extent.At the basis of previous studies,we analyse the problems and the key elements in wireless rechargeable sensor network.In combination of the characteristics of charging technology and rechargeable node,the impacts of application of charging technology to energy replenishment and routing energy consumption are considered.And the optimization ideas are put forward from both charging and routing period.Then the network performance indexes are analysed according to different optimization goal.In terms of charging strategy,the real-time multipoint charging strategy is raised with the goal of optimizing charging delay and improving charging utility.The strategy takes full consideration of the advantages of multipoint charging technology.It sets up thresholds for nodes to be charged,then optimizes the numbers of charging points,so as to charge more sensor nodes and add more energy to the whole network during charging period.Meanwhile,we take attention to the interaction effects of charging and routing period to balance the energy gained and lost at the nodes.While nodes lose more energy in routing period,they can get more energy in charging period.And those with more residual energy choose nodes closer to base station,which can help to reduce the average hops.Through the analysis of their influence mechanism,we put forward the routing strategy which is adaptive to sensor nodes' charging characteristics,with the target of ensuring the long-term and stable operation of the network.Besides,the suitable network performance indexes are chosen to verify the effects of the proposed strategies,which are simulated and analyzed in Matlab simulation platform.