基于粒子群优化的NLOS环境的节点定位算法  

Particle swarm optimization-based node localization algorithm in non-line-of-sight environment

作　　者：文恬[1] 余小平[1] 贾勇[1] 

机构地区：[1]成都理工大学信息科学与技术学院,成都610059

出　　处：《中国科技论文》2015年第20期2390-2394,共5页China Sciencepaper

基　　金：国家级大学生创新创业计划项目(201410616016)

摘　　要：无线传感网络的非视距NLOS(non-line-of-sight)环境是影响测距定位精度的重要因素。本文提出了基于粒子群优化PSO(particle swarm optimization)的NLOS环境的节点定位NLOS+PSO算法。NLOS+PSO算法采取惯性权重的非线性调整策略,提高了算法的收敛速度。同时,对目标值进行排序,摒弃性能差的粒子,可降低计算量。实验数据表明,在非视距环境中,所提出的NLOS+PSO算法可提高定位精度,抑制NLOS测距误差,提高收敛速度。Non-line-of-sight（NLOS）environment in wireless sensor network is key issue for the precision in localization.A particle swarm optimization-based node localization algorithm in non-line-of-sight environment is proposed（marked as NLOS＋PSO algorithm）.The non-linear inertia weight strategy is applied in NLOS＋PSO algorithm to improve the convergence rate.In addition,the fitness is sorted and particle with low performance is discard to reduce the computation.Simulation results show that NLOS＋PSO algorithm presents better localization precision and can effectively suppress NLOS ranging-error to improve the convergence rate.

关 键 词：无线传感网络 定位 粒子群优化算法 非视距 惯性权重 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]