Mobile Node Path Planning Based on Particle Swarm Optimization

In Wireless Sensor Networks, Path planning for mobile nodes can effectively select the optimal path and improve the performance of wireless sensor networks. There are some problems in current path planning of mobile nodes in Wireless Sensor Networks, for example, it takes too long to complete the path planning and excessive energy consumption, etc. A path planning method for mobile nodes based on particle swarm optimization is proposed. According to the stop location of the mobile node, the energy consumption of each grid node is calculated and the path planning model of mobile node is established. Get the position and speed for each mobile node by using particles cooperate with each other. Fitness function is found by referring obstacle repulsive field in network mobile nodes path. Solving the global optimal path of mobile nodes based on the fitness value. The experimental results show that using the proposed method to plan the path of mobile nodes in wireless sensor networks requires shorter completion time and less energy consumption.