Research On Mobile Optimized Charging Strategy For Rechargeable Wireless Sensor Networks

Wireless sensor networks(WSN)play an irreplaceable role in the modern information society.However,energy limitation has always been a key issue that restricts the development of wireless sensor networks.In a wireless sensor network,a node is powered by a battery of limited capacity.When the node battery is faulty or the power is exhausted,the node's battery needs to be replaced in time to ensure the normal operation of the entire network.However,in some special and complex environments,the replacement of the node battery is almost impossible to achieve,and wireless energy transmission technology is expected to solve this problem.Wireless energy transmission technology has problems in charging nodes: charging interference,charging efficiency,charging cost,electromagnetic radiation,and distance limitation.Among them,charging efficiency and distance are the two most important problems.How to achieve high efficiency and optimal distance wireless energy transmission is the key problem to be solved in the next study.Based on the wireless sensor network model,this thesis studies the charging strategy of charging service for nodes in the sensor network through a single mobile charging car as the charging device.In the first part,considering the situation that all sensor nodes in the WSN network need to be charged,in the service cycle of the mobile charging car,the charging vehicle path planning problem is transformed into the classic TSP problem with the goal of maximizing the charging station time.The solution is to realize the optimal driving path planning of the mobile charging vehicle through the proposed improved genetic algorithm HSGA.In the second part,increase survival time under the scenario of wireless sensor network(WSN)network charging and energy consumption model is set up,research in the process of mobile charging car services,consider the node energy state,data collection and network to charging efficiency maximization as the goal,according to the charging request to establish to charge sensor node set,to improve the Online heuristic algorithm(Improved Online heuristic algorithm,IOHA)from to fill in the collection to choose the next node is added to the battery in the queue,implement charging path planning.The full text mainly revolves around WSN's mobile charging vehicle path planning optimization,researches on the improvement of charging efficiency,and verifies the effectiveness of the algorithm through simulation experiments.The Simul-ation results show that in the experimental environment for charging all nodes in the network,the proposed The HSGA algorithm can find the optimal solution for the travel path of the charging vehicle.Compared with the heuristic algorithm,the proposed IOHA algorithm improves the charging efficiency of the charging car by about 12% on average,and with the increase of the total energy and charging cycle of the charging car battery,The charging efficiency increases linearly.Ultimately,efficient and stable replenishment of sensor nodes and extended network lifetime.