Research On Stationary Energy Supplementation Methods In Wireless Rechargeable Sensor Networks

In recent years,with the rapid development of Internet of Things(Io T),microelectronics technology and Wireless Power Transmission(WPT),wireless sensor network(WSN)gradually plays an important role in industrial applications.A wireless sensor network that can be powered by a wireless charger is called wireless rechargeable sensor networks(WRSN),which is composed of a large number of sensor nodes,is used for monitoring the external environment,data transmission,edge calculation.Sensor nodes are usually composed of micro-electronic components and batteries,and the battery with limited energy is the key to restrict the life of WRSN.In order to extend the network life,wireless charging technology into WRSN is an effective solution.In WRSN,traditional charger deployment methods usually do not consider the presence of obstacles in the network.Existing works mainly focus on the deployment issues of omnidirectional chargers.These works inevitably have their limitations.To this end,this paper studies the deployment of directed wireless charger in WRSN in two stages,and its main contributions are as follows:(1)For the actual application scene of uneven distribution of nodes,multi-obstacle scene,we regards node distribution as several normal distribution models,and uses the EM algorithm to solve the Gaussian mixture model(GMM),thereby dividing the entire sensor network area into multiple sub-regions,using the virtual potential field method in each sub-region enables the directional charger to flexibly evade the obstacle area under the influence of this virtual force while adjusting to a position where the charging efficiency is higher.Simulation results show that this method can effectively avoid obstacles while maintaining high charging utility.(2)To further reduce the cost of network deployment,we also studies multi-hop charging,and proposes an energy supplement strategy of directional wireless charger based on resonant repeater.In order to show that the proposed scheme is more suitable,we have carried out a lot of simulation experiments.Simulation results show that this charger deployment algorithm can significantly improve the effective coverage of sensor nodes compared to existing directional charger deployment algorithms.