传感技术学报2018，Vol.31Issue(6)：941-948,8.DOI:10.3969/j.issn.1004-1699.2018.06.022
距离误差加权与多通信半径的蝙蝠优化无线网络节点定位算法
Bat-Based Optimal Location Algorithm With Distance-Weighted Error and Multiple Communication Radius
摘要
Abstract
Traditional DV-Hop localization algorithm has clear positioning errors, andthe improved particle swarm optimization algorithm cannot satisfy the requirement of node location accuracy because it is easy to trap into local optimal solution and too slow local convergence. In view of this,this thesis attempts to eliminate the interference of abnormal anchor nodes to location accuracy through setting the threshold value of hop number;This thesis modifies minimum hop number by means of multi-communication radius broadcasting method;Meanwhile,the average jump distance is corrected by using distance error and hop number normalization. Bat algorithm is improved through using cubic mapping homogenization initial bat population,introducing into hop local optimum ability of Levy flying char-acteristics enhanced algorithm,and adopting Powell local search enhanced algorithmconvergence,and then the im-proved algorithm is used to locate unknown nodes. The simulation results show that,compared with the traditional DV-Hop,BIDV-Hop,GAPSODV-Hop and other algorithms,the improved localization algorithm in this thesis can ef-fectively reduce the positioning errors and improve the positioning accuracy.关键词
DV-Hop/距离误差加权/多通信半径/蝙蝠算法/Levy飞行/Powell局部搜索Key words
DV-Hop/distance error weighted/multi-communication radius/bats algorithm/Levy flight/Powell local search分类
信息技术与安全科学引用本文复制引用
温斯琴..距离误差加权与多通信半径的蝙蝠优化无线网络节点定位算法[J].传感技术学报,2018,31(6):941-948,8.基金项目
内蒙古自治区高等学校研究项目(NJZY14205) （NJZY14205）
