传感技术学报2018，Vol.31Issue(1)：147-151,5.DOI:10.3969/j.issn.1004-1699.2018.01.024
基于DV-Hop测距修正的遗传模拟退火定位算法
Improved DV-Hop Ranging-Based Genetic-Simulated Annealing Localization Algorithm in Wireless Sensor Networks
摘要
Abstract
In order to improve the localization accuracy of DV-Hop in Wireless Sensor Networks( WSNs) ,Improved DV-Hop Ranging-based Genetic-Simulated Annealing Localization ( IDV-Hop-GSAL ) algorithm is proposed in this paper. IDV-Hop-GSAL introduced Near-degree,and modified the ranging by DV-Hop. Then the original position of unknown nodes is obtained by least squares method. Finally,the most optimal solution to obtain a position of un-known nodes is achieved with the help of GASA optimization algorithm. Numerous simulation results show that aver-age localization error ratio of IDV-Hop-GSAL algorithm is less than that of traditional DV-Hop algorithm.关键词
无线传感网络/节点定位/距离向量的跳数/相近度/遗传模拟退火算法Key words
wireless sensor network/localization of node/DV-Hop algorithm/near degree/genetic-simulated annealing分类
信息技术与安全科学引用本文复制引用
徐慧娟..基于DV-Hop测距修正的遗传模拟退火定位算法[J].传感技术学报,2018,31(1):147-151,5.基金项目
项目来源:河南省科技厅基金项目( 162102110119) （ 162102110119）
