Energy-Saving Mechanism of Wireless Communication System Based on Particle Swarm Optimization

In this paper, a clustering algorithm based on improved particle swarm optimization algorithm is proposed by using the characteristics of particle swarm optimization algorithm with strong global search and optimization ability. PSO algorithm is used for global searching, and K-global optimal clustering centers are used as the initial clustering centers of K-means algorithm,. Then the final clustering results are obtained by running k-means algorithm. According to the fitness variance of particle swarm optimization, the algorithm determines the switching time between the former part of PSO and the latter part of K-means algorithm, and it deduces the cluster head considering energy and distance. The simulation results show that the algorithm balances the energy consumption more effectively than LEACH and significantly prolongs the network's lifetime.