Research on Wireless Sensor Network Coverage Based on Improved Particle Swarm Optimization Algorithm

Abstract

In order to improve the network coverage, this paper presents the research on wireless sensor network coverage based on improved particle swarm optimization algorithm for wireless sensor nodes that are randomly deployed in a certain area. In this paper, we use the regional network coverage as the target objective function, and combine various improved particle swarm optimization algorithms to optimize the deployment location of all nodes to enhance the area coverage. The experimental results show that the influence level of different perceived radius on the optimization performance of the network coverage is different. At the same time, the optimization performance comparison graph of improving the network coverage by using the standard particle swarm optimization algorithm, the chaos particle swarm optimization algorithm and the breeding particle swarm optimization algorithm is given, and it is proved that the latter two-algorithms solve the wireless sensor network coverage better than the first-algorithm.