现代信息科技2025，Vol.9Issue(2)：16-23,32,9.DOI:10.19850/j.cnki.2096-4706.2025.02.004
基于浣熊算法优化的DV-Hop定位算法
Optimized DV-Hop Positioning Algorithm Based on Coati Optimization Algorithm
摘要
Abstract
In view of the problems of large positioning accuracy error and poor positioning stability in the DV-Hop(Distance Vector-Hop)algorithm of wireless sensor network positioning algorithms,a DV-Hop optimized positioning method based on the Coati Optimization Algorithm(COA)is put forward.Firstly,this method makes use of multi-communication radius to accurately calculate the number of hops between nodes.At the same time,by applying the strategy of weighted hop distance,it precisely corrects the average hop distance of unknown nodes.Subsequently,the Coati Optimization Algorithm is adopted to replace the traditional trilateral measurement method for estimating coordinate positions,and finally the node positioning coordinates are obtained.To verify the effectiveness of the proposed method,the improved algorithm proposed in this paper is experimentally verified.The result demonstrates that under the same conditions,in scenarios with different numbers of anchor nodes,different communication radii and different total numbers of nodes,the average positioning error of the improved algorithm is respectively reduced by 61.64%,47.24%and 65.11%compared with the traditional DV-Hop algorithm,thus proving that the proposed improved algorithm has good positioning accuracy and relatively good stability.关键词
DV-Hop算法/浣熊算法/多通信半径/加权跳距/节点定位Key words
DV-Hop algorithm/Coati Optimization Algorithm/multi-communication radius/weighted hop distance/node positioning分类
信息技术与安全科学引用本文复制引用
张潇,姜金晶,李新,彭彤..基于浣熊算法优化的DV-Hop定位算法[J].现代信息科技,2025,9(2):16-23,32,9.基金项目
国家自然科学基金重点专项资助项目(62341127) （62341127）
