传感技术学报2017，Vol.30Issue(2)：278-283,6.DOI:10.3969/j.issn.1004-1699.2017.02.019
基于自适应ABC/FOA融合定位算法研究
Research on the Localization Algorithm Based onAdaptive ABC/FOA Fusion
摘要
Abstract
In order to solve the tardiness and big error of traditional node localization algorithm in wireless sensor network(WSN),a new localization algorithm based on adaptive ABC/FOA fusion is proposed.In this algorithm,not only is the global optimizing capacity of ABC algorithm absorbed,but also the strong local searching ability of FOA algorithm is remained.At the same time,the adaptive concept is introduced to control the step size of fruit fly and to improve the diversity of the population.And then,to increase the partition degree of node localization error,the error function of node localization is improved.The simulation shows the promising results:This algorithm can shorten the localization time significantly,decrease the localization error obviously,satisfy the engineering requirement of localization accuracy,and so on.关键词
无线传感网络/定位算法/果蝇优化算法/人工蜂群算法/自适应Key words
wireless sensor network/localization algorithm/fruit fly optimization algorithm/artificial bee colony algorithm/adaptive分类
信息技术与安全科学引用本文复制引用
徐同伟,何庆,吴意乐,顾海霞..基于自适应ABC/FOA融合定位算法研究[J].传感技术学报,2017,30(2):278-283,6.基金项目
贵州省教育厅青年科技人才成长项目(黔教合KY字[2016]124) （黔教合KY字[2016]124）
贵州省科技厅项目贵州省科技计划课题项目(黔科合LH字[2014]7628) （黔科合LH字[2014]7628）
贵州大学引进人才科研项目(贵大人基合字[2010]010) （贵大人基合字[2010]010）
贵州大学研究生创新基金项目(研理工2017012) （研理工2017012）
