| In the traditional Wireless Sensor Networks(WSN),the limited battery power of sensor nodes limits the life of the network.At present,the Wireless Rechargeable Sensor Networks(WRSN)can supplement energy to the rechargeable nodes in the network by wireless transmission of energy,which solves this problem well,effectively extending the life of the network.The deployment plan of charging nodes is one of the key contents of WRSN research.For different network environments and types,this article starts with the static charging planning and mobile charging planning research in WRSN,and proposes a static charging planning algorithm and a mobile charging strategy respectively.The main work content is as follows:First,in the deployment process of the static charging base station using electromagnetic radiation charging technology in WRSN,a static charging base station deployment algorithm based on the generalized Fermat problem is proposed.First,according to the core node selection rules,the entire network area is divided into several sub-areas.The number of sub-areas after division is the minimum number of static charging base stations required,and then combined with the heuristic convergence algorithm of the generalized Fermat problem to determine the charging base station in each sub-area specific deployment location.The simulation results show that compared with the traditional three static charging base station deployment algorithms,the number of static charging base stations in the algorithm proposed in this thesis is reduced by 4.2%,7.8% and 21.7%,and to a certain extent,under the premise of meeting the node charging requirements.The overlapping area of the base station charging is optimized,and the charging efficiency of the base station is optimized.Secondly,for the use of magnetic coupling resonant charging technology combined with dynamic charging of mobile charging devices in WRSN,a regional priority charging scheme based on regional energy urgency is proposed.In the mobile charging process,the service object of the previous mobile charging equipment is expanded from "point" to "surface",that is,the charging process no longer takes the remaining power and location distance of a node as the decisive factor for the movement of the charging device,but considers factors such as the overall energy demand and location distance of nodes in a certain sub-area.In each sub-area,a charging strategy MCUL is proposed to maximize the utilization of rechargeable batteries and maximize the network life.Theoretical analysis and simulation experiments show that the area-based charging method combined with the MCUL mobile charging strategy can reduce the total travel distance of mobile charging devices in the network,improve the utilization rate of rechargeable batteries,and extend the life cycle of the network. |