Research on Improved Particle Swarm Optimization Algorithm in WSN Routing

Abstract

Aiming at the problems of wireless sensor network (WSN) routing optimization algorithm, an improved chaotic perturbation PSO algorithm is proposed. Firstly, the improved inertia weight is used to balance the global search ability and local search ability of the particle. The chaotic perturbation mechanism is added to improve the convergence speed, reduce the number of invalid searches, and avoid the waste of node energy by selecting the unrelated path. The simulation results show that the optimization algorithm can find the optimal path more quickly and efficiently, reduce network consumption and improve WSN routing efficiency.