Abstract: 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.

Key words: wireless sensor networks, localization, maximum likelihood estimation, particle swarm optimization

摘要： 为了提高无线传感器网络节点定位的精度，提出了一种基于粒子群优化估计的无线传感器网络节点定位算法。该算法简单易实现，可调参数少，通过多次迭代寻优，以提高定位精度。仿真结果表明，新算法与常用的极大似然估计算法相比可以显著提高节点定位的精度和稳定度。

关键词: 无线传感器网络, 定位, 极大似然估计, 粒子群优化算法