Research And Application Of Charging Scheduling Algorithm Of Wireless Rechargeable Sensor Networks

The energy limitation has become the main factor which restricts the development of wireless sensor networks(WSN).In order to solve this problem,many algorithms have been proposed,they use mobile chargers(MCs)periodic charge nodes by wireless power transfer(WPT)in wireless rechargeable sensor networks(WRSN).To some extent,these schemes can extend the lifetime of WRSN,but most of them have the problems of low survival rate of nodes,high mobile cost of MCs and low energy usage effectiveness.In order to solve the above problems,this paper puts forward partial collaborative mobile charging scheme base on charging curve(PCLCharge),which reduces the time spent in the constant voltage mode to charge more nodes and improve usage of energy,after deep study in the charging curve characteristics of lithium batteries.Simulation results show that the PCLCharge algorithm is able to maximize the number of charged nodes and improve the usage of energy.In view of the characteristics of few charging scheduling schemes and low survival rate of proposed schemes in 3D underwater sensor networks(USNs),this paper proposes a shortest path partial charging based on charging curve scheme(SPBS).To reduce the traveling cost and improve charging efficiency,this paper proposes a concept of secondary charging stations for mobile charging ships and a Hamilton charging scheme(HCS),and then proposes a temporal and spatial collaborative charging scheme for USNs with multiple mobile charging ships and secondary charging stations(m CS-TS),which also takes the cluster factor and deadline time into consideration.Simulation results show that the SPBS algorithm has improved the survival rate of nodes,HCS and m CS-TS have higher and more stable energy utilization efficiency,and in m CS-TS,a higher degree of importance for the cluster is given priority to replenish energy.Finally,this paper designs a charging management system of WRSN based on the proposed schemes.In this system,the application module with algorithm comparative analysis performance and energy charging management function,a user management module,a learning resource module and a login module are designed.The system test results show that this system not only provides a friendly web interactive experience,but also has good charge energy management capability of WRSN,which is helpful to improve the network lifetime.