现代电子技术2017，Vol.40Issue(15)：129-132,4.DOI:10.16652/j.issn.1004-373x.2017.15.035
基于差分进化和人工蜂群混合策略的DV-Hop改进算法
DV-Hop improved algorithm based on fusion of differential evolution algorithm and artificial bee colony algorithm
摘要
Abstract
In order to solve the big error of the wireless sensor network(WSN)relying on DV-Hop algorithm in position process,the artificial bee colony algorithm and differential evolution algorithm are fused,and introduced into the traditional DV-Hop algorithm to propose a HDV-Hop algorithm. Under the premise of inheriting the classic DV-Hop algorithm,the objective function of the mixed strategy is introduced into the positioning stage of unknown node after getting the anchor node information and average hop distance,the search algorithm is optimized,and the positioning accuracy is improved to locate the unknown nodes. The simulation analysis results show that,in comparison with the DV-Hop algorithm and positioning algorithm based on artificial bee colony,the proposed algorithm can reduce the positioning error effectively,and improve the stability.关键词
DV-Hop算法/人工蜂群/差分进化/定位Key words
DV-Hop algorithm/artificial bee colony/differential evolution/positioning分类
信息技术与安全科学引用本文复制引用
赵宏才,赵晓杰,王茂励,孟庆龙..基于差分进化和人工蜂群混合策略的DV-Hop改进算法[J].现代电子技术,2017,40(15):129-132,4.基金项目
国家自然科学基金(51475251) （51475251）
山东省自然科学基金(ZR2014EEM024) （ZR2014EEM024）
山东省科技重大专项(2015ZDZX10002) （2015ZDZX10002）
