The Key Strategy And Application Of UAV Charging Based On Wireless Sensor Network

With the scale and quantity of data flow increasing exponentially,communication system is under great pressure.However,the traditional communication system mainly relies on the deployment of base station,which is difficult to solve the related problems.In addition,the widespread installation of the ground base station has the disadvantages of high cost of arrangement and difficult installation.In the face of complex deployment environment and debris flow,it is difficult for modern communication system to have specific and effective methods to deal with them.Fortunately,the traditional ground base station in the communication system can be replaced by the base station of unmanned aerial vehicle(UAV)which can be deployed at high altitude.The new problems can be solved by using the UAV assisted wireless information energy transmission technology.In the first part of the paper,the design principle of UAV assisted wireless energy transmission device is introduced,and the influencing factors of transmission power and efficiency are analyzed and explained.The coupling structure and mobile switching module of a parallel system with two secondary windings are designed,and the coupling modeling and adaptive switching control method are introduced in detail.In research content 2,UAV is used as a flying air base station to transmit energy to multiple ground users.The goal of the research is to maximize the ratio of UAV vacation time in cycle time by jointly optimizing the data routing and transmission mode between UAV and ground users.First,the original problem to be optimized is obtained by problem modeling.After analyzing the original problem,two non-interference variables,the maximum energy consumption rate in the node and the task cycle of UAV,are obtained.Among them,the time-sharing based simulated annealing algorithm(TSBSAA)is used to get the optimal trajectory of UAV,so as to maximize the average receiving power of nodes.Finally,through the linear programming method,the influence variable of the objective function node energy consumption rate is optimized,and the node data routing satisfying the objective function is obtained.In the third part,UAV transmits energy to multiple cluster sensor network areas.First of all,through the joint optimization of clustering scheme,an improved DE algorithm for UAV optimal stagnation point search algorithm is proposed.Secondly,based on the optimal stagnation point of UAV searched by the algorithm as the path point,using the improved local replacement algorithm,the flight behavior of UAV to visit the path point of each region and reduce the sleep rate of each region is planned.Simulation results show that the proposed scheme can solve the sleep rate problem of large-scale wireless sensor networks..This paper proposes an effective solution to the corresponding target problem through joint optimization of UAV trajectory,sensor network clustering and sleep rate,sensor network routing and energy consumption.Through the comparison of simulation results,the feasibility of the proposed scheme is verified.