Improved Particle Swarm Communication Algorithm for wireless communication Network Base Station Optimization Application

In recent years, with the increase of network users, people's requirements for communication quality have been gradually improved. In order to increase the coverage of wireless communication(WC) network and improve the efficiency of using communication network, this paper improves the quality of WC by optimizing the base station location, and analyzes the optimal location of base station construction by using the location-seeking characteristics of improved particle swarm optimization algorithm. In this regard, based on the improved particle swarm algorithm, the optimal network coverage optimization goal is achieved by designing the base station location optimization scheme with the least number of network nodes and the least energy consumption. The experimental results show that the network energy consumption is smaller and the network survival time is more after the original PSO algorithm and the improved PSO algorithm compared to the unoptimized base station location, and the improved PSO algorithm is more effective than the original PSO algorithm.