摘要
对无线传感器网络定位算法进行了探讨,分析和研究了经典的定位算法,提出了一种基于信标节点筛选的定位算法LASBN,该算法筛选出合适的信标节点,并根据未知节点从信标节点所接收到的RSSI值设置权重,最后利用加权质心法进行未知节点的定位。理论分析和实验表明,该算法具有多项式复杂度,能有效地缩小估测误差和提高定位精度。
The locating algorithm of wireless sensor networks has been discussed in this paper.Some traditional locating algorithms are analyzed first,and then a novel Locating Algorithm based on Selection of Beacon Nodes(LASBN) is proposed.Proper beacon nodes can be selected in LASBN,and the weight of beacon nodes would be set according to RSSI received by unknown nodes.Finally,the coordinates of unknown nodes are evaluated by weighted centroid method.Theoretical analysis and experiments show that LASBN has polynomial complexity,can reduce the estimation error and improve the localization precision.
出处
《南京邮电大学学报(自然科学版)》
北大核心
2012年第5期135-139,共5页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金
国家自然科学基金(60903181
60973139
61003236)
东南大学计算机网络和信息集成教育部重点实验室开放研究基金(K93-9-2010-12)
中国博士后科学基金(20100481168)
江苏省自然科学基金(SBK201220192)
江苏省高校自然科学基金(12KJB520011)
南京邮电大学引进人才科研启动基金(NY208073)资助项目
关键词
无线传感器网络
定位算法
信标节点筛选
三角形内点测试法
加权质心法
wireless sensor networks
location algorithm
filter of beacon nodes
triangular interior point method
weighted centroid method