A CPSO algorithm for optimization of wireless sensor network positioning

Wireless sensor network technology is widely used, and most applications depend on node location. Aiming at the problem that the signal intensity indication (RSSI) is susceptible to the environment, an improved chaotic particle swarm optimization (CPSO) is proposed in this paper in order to improve the positioning performance of the sensor node based on the research of the existing location algorithm. The convergence of the algorithm is better than the PSO algorithm. The results of the RSSI measurement data in both indoor and outdoor communication environments show that, compared with the general weighting algorithm and the traditional PSO algorithm, the improved combined optimization algorithm can greatly improve the effect of the ranging error on the positioning error and improve the positioning performance greatly. © 2020, North Atlantic University Union NAUN. All rights reserved.