An improved node localization method for wireless sensor network based on pso and evaluation of environment variables

Abstract

Node localization is an essential problem for some engineering applications in wireless sensor network (WSN). The problem characteristics of node localization in WSN are analyzed firstly, and then a framework and a strategy for the settings of important parameters are given to solve such problems with particle swarm optimization (PSO). Furthermore, the environment variable of WSN is evaluated and an improved node localization method of wireless sensor network based on PSO is proposed. In the proposed node localization method, the environment variable of WSN is evaluated during the process of ranging and the fitness function is designed according to the environment variable, and then the PSO algorithm is adopted to solve the node localization problem. Compared with the traditional methods, the experiments results show that the proposed method has good performance. Besides, we also discussed the relationship among the number of nodes, the number of failure nodes, the positioning error and the mean distance-measuring error.