关键词: 无线传感器网络, 改进粒子群优化（MPSO）算法, 分布式迭代平均定位, 定位误差

Abstract: In order to improve the localization accuracy, a novel localization meothd in wireless sensor network based on improved particle swarm optimization algorithm is proposed. The average of the location of the node in the last generation and the location of the same node in the current generation is regarded as the current generation node location following with the criteria of choosing beacon nodes, and the improved particle swarm optimization algorithm is used to optimize the localization results. The simulation experiments are carried out. The results show that the proposed algorithm not only fastens the localization speed and has improved the localization accuracy effectively compared with the PSO algorithm, so it has wider application range.

Key words: wireless sensor networks, Modified Particle Swarm Optimization（MPSO） algorithm, distributed iterative average localization, localization error