Research On Deployment Strategy Of Wireless Charger In WPCN

In recent years,with the development of wireless energy transmission technology,WPCN(Wireless Powered Communication Network)has become a research hotspot at home and abroad.The traditional wireless sensor network is supplied by a fixed energy source such as a battery,and the network lifetime is limited,so that the life of the wireless sensor network is greatly shortened,which seriously affects the performance of the network.And in many practical applications,such as wild mountains,desert islands,virgin forests,craters,battlefields,toxic environments,and animal bodies,battery replacement is often inconvenient,costly,and infeasible.Wireless power transmission technology can wirelessly transfer energy from the charger to the sensor,which solves the problem of short life of the wireless network.The most critical device in the WPCN is the wireless charging device or wireless charger,the charger.A key issue with charger is its deployment problem: how to determine the number of chargers and deploy their specific locations,transmission ranges and angles to maximize the overall charging utility of the network.In response to the above problems,many scholars have conducted a lot of research on the deployment of wireless chargers.The content of this thesis is for the deployment of a directional wireless charger with a fixed charging angle and charging range.A new Charger Deployment Greedy algorithm is proposed.The main work of this thesis is as follows:(1)Design the charging model and charging utility function of the wireless charger.This topic intends to model the energy received by the node using the classical Friis transmission equation.(2)Design the coverage method of the wireless charger,use the method of regional discretization(distance discretization,angle discretization),calculate the energy received by each node according to the Friis transmission equation,and set the constraint requirements: each node receives Energy can keep you running.(3)After satisfying the above requirements,the final position and orientation of the node are deployed by using the extraction method of the Dominating Coverage Set.The dominant coverage set determines the location and direction of the wireless charger.At this time,a greedy algorithm,a genetic algorithm,etc.are used to find the dominant coverage set,thereby obtaining the deployment result of the charger.Finally,through simulation,from a variety of perspectives,the performance of the newly designed CDG algorithm is 230% higher than that of the previous random position and random orientation(RPRO)algorithm.