Research on node localization based on particle swarm optimization for WSNs
基于粒子群优化算法的WSNs节点定位研究

In order to improve the localization accuracy, a new localization algorithm was proposed based on particle swarm optimization for wireless sensor networks. The new algorithm is easy to achieve and has a few parameters to adjust. Through multiple iterative optimization, it can improve the localization accuracy. The experimental results show that the localization accuracy and stability of the new algorithm are significantly superior to that of the maximum likelihood estimation algorithm.