Research On Energy Supplement Strategy For Wireless Sensor Networks

Traditional Wireless Sensor Networks(WSN)often cannot meet the requirements of more complex and harsh scenarios due to the limitation of the sensor battery energy.With the development and maturity of various energy supply technologies,rechargeable wireless sensor networks using wireless energy transmission technology to supplement sensor nodes have begun to develop.It is of great significance to effectively use these technologies to overcome the problem of limited battery energy in traditional wireless sensor networks,and to make sensor networks work in a long-term and stable manner.Among a variety of wireless energy transmission technologies,magnetic resonance wireless charging technology can provide reliable energy for wireless sensor networks and support multi-node charging at the same time,which greatly improves the energy utilization efficiency of charging equipment and helps increase charging schemes.Scalability.Based on the analysis of the working characteristics and working modes of wireless sensor networks,this paper studies various energy supply technologies and energy supplement strategies for different application scenarios,and verifies the charging performance of magnetic resonance multipoint wireless charging technology.The analysis laid the foundation for proposing new energy supplement strategies.Based on the multi-point magnetic resonance charging model,this paper proposes an energy replenishment strategy with the goal of maximizing the lifetime of the sensor network.For the scenario where a single wireless charging device periodically charges the network,the problem of extending the life of the sensor network is optimized.Model,and solve the problem,and dynamically guide energy to the node with heavy load.Simulation results show that the strategy effectively improves the energy utilization rate of the sensor network and significantly extends the life of the sensor network.In order to achieve long-term stable operation of the sensor network,an energy replenishment strategy with a minimum energy replenishment cost is proposed.This strategy first establishes a mathematical model based on energy balance conditions to obtain the minimum number of charging devices needed to find the network's long-term operation.Then,the minimization of replenishment cost is established as a two-objective optimization problem,and the problem is solved by a three-step approximation algorithm.Simulation results show that the strategy can improve the utilization efficiency of the energy of the charging vehicle and effectively realize the long-term stable operation of the sensor network.