Research On Online Charging Strategy Optimization Of Wireless Rechargeable Sensor Network

With the vigorous development of wireless communication technology,sensor technology and microelectronics technology,as one of the most important and basic technologies for information acquisition at present,Wireless Sensor Network?WSN?^[1]has also become the research of many scholars'focus.WSN is widely used in environmental monitoring^[2],forest fire warning^[3],and medical care^[4].With the comprehensive study of marine characteristics and the recognition,development and protection of marine resources,wireless sensors for underwater environmental monitoring The network is also widely used.However,the energy supply mode of the sensor node is limited,and the problem of difficult maintenance of the power module in the later stage has seriously affected the performance and development of the sensor network.Recent advances in wireless charging technology^[5]and rechargeable lithium-ion battery technology^[6]have found new solutions for WSN's own energy problems in special use scenarios such as underwater environment monitoring.Since the energy in Wireless Rechargeable Sensor Networks?WRSN?^[7-9]generally has dynamic changes and imbalances in energy consumption,how to effectively deploy the charging module and rationally plan the charging path is the top priority.In recent years,some scholars have achieved more results in reducing the number of nodes with energy holes and extending the overall life cycle of the network.Based on this,starting from the real-time prediction of dynamic energy consumption in WRSN,this paper studies the design and optimization of the online charging strategy based on single mobile charger?MC?and dual MC coordinated charging for different numbers of MC,so as to minimize the energy hole rate and the charging latency of the charging-needed nodes.The contributions and main work of this paper are as follows:?1?Analyze the application of WRSN in the underwater monitoring network,and discuss the related wireless communication technology and wireless charging technology.Based on the prediction of dynamic energy consumption rate and planning of MC's charging sequence,WRSN of different sizes Underwater monitoring network,propose different online charging schemes.Simulation analysis shows that this method has lower energy hole rate of nodes and smaller charging latency of the charging-needed nodes than several existing online charging schemes.?2?For a small-scale sensor network with a single MC,an energy hole avoidance online charging scheme with RBF?RBF-EHAOCS?based on RBF?Radical Basis Function?neural network is proposed,and RBF is used to predict the charging process.Based on this,the optimal threshold value of the node charging request is estimated based on this,and then the next charging node is determined to minimize the energy hole rate and the shortest charging completion time.?3?For small and medium-sized sensor networks with dual MCs,an online charging strategy for dual MC Collaboration?OCS-DMCC?is proposed,and the MC's Relative Charging Adaptation?RCA?is introduced.The nodes in the charging service pool select the MC with the largest RCA parameter to transmit the status information,and the MC uses the dynamically changing energy consumption rate to plan the charging path.Simulations show that compared with single MC charging planning in small and medium scales,dual MC coordinated charging can effectively reduce the energy hole rate of nodes and the charging burden of MC,and improve network charging performance and robustness.