Node Location Method of WSN Based on Improved Multi-objective Particle Swarm Optimization Algorithm
WANG Yan
WANG Xia
WANG Zhuoran
Abstract：Aiming at the problem of insufficient positioning accuracy of sensor nodes in wireless sensor networks,a node loca-tion method based on improved multi-objective particle swarm optimization algorithm for wireless sensor networks(LIMOPSO)is proposed.The multi-objective location model is improved,and the location information of the unknown node near the anchor node is used as the target guidance to improve the location efficiency.An optimal individual selection strategy based on the number of domination is proposed to enable the algorithm to quickly locate the location range of nodes and improve the location speed.The Fi-bonacci mutation strategy is proposed to improve the multi-objective particle swarm optimization algorithm to estimate the node posi-tion and improve the accuracy and stability of location.The experimental results show that the average positioning error of the im-proved multi-objective positioning model is significantly improved compared with the average positioning error of the improved mod-el.At the same time,compared with the three comparison algorithms,the positioning method proposed in this paper has higher posi-tioning accuracy and stability,and can effectively reduce the impact of the proportion of anchor nodes and communication radius on positioning.
Keywords：node positioningmulti-objective particle swarm optimization algorithmpositioning modelnumber of domina-tionFibonacci
Publication Date：2025-12-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：9( 3442-3449,3512 )