现代电子技术2017，Vol.40Issue(13)：22-25,4.DOI:10.16652/j.issn.1004-373x.2017.13.006
基于IFOA优化DV-distance算法的无线传感器网络定位研究
Research on IFOA-based DV-distance algorithm for WSNs localization
摘要
Abstract
The node localization problem for wireless sensor networks(WSNs)is studied. A DV-distance algorithm based on fruit fly optimization algorithm for WANs localization is proposed. Since the DV-distance localization algorithm has the defect of low localization precision,is influenced by noise easily,and restricted to the network topology structure,an improved fruit fly optimization algorithm(IFOA)is introduced into the DV-distance algorithm to realize the accurate localization of the node po-sition. In order to improve the algorithm localization accuracy further,the dynamic weighted correction factor is introduced into the algorithm,and the dynamic error correction strategy is given. The simulation experiment was performed for WSNs node loca-lization. The simulation results show that the positioning accuracy of the improved DV-distance localization algorithm is signifi-cantly improved than that of the DV-distance and traditional localization algorithms.关键词
无线传感器网络/节点定位/果蝇优化算法/DV-distanceKey words
wireless sensor network/node localization/fruit fly optimization algorithm/DV-distance分类
信息技术与安全科学引用本文复制引用
庞先伟,左仁淑,王婷婷,李学军..基于IFOA优化DV-distance算法的无线传感器网络定位研究[J].现代电子技术,2017,40(13):22-25,4.基金项目
中央高校基本科研业务费专项资金(JBK150380) （JBK150380）
