自动化学报2012，Vol.38Issue(7)：1190-1199,10.DOI:10.3724/SP.J.1004.2012.01190
基于区间数聚类的无线传感器网络定位方法
WSN Localization Method Using Interval Data Clustering
摘要
Abstract
When the wireless sensor network (WSN) range-based localization method is applied to communication distance estimation, RSSI (received signal strength indicator) is assumed linear with the logarithm of corresponding communication distance. But it is always in contradiction with the real communication environment and leads to big localization error. So in this paper, interval data combined with statistic information of RSSI data are used to express the distribution region first, then soft and hard interval data cluster algorithm are used to estimate the communication distance for different uncertainty levels of RSSI data. Next, the RSSI-D estimation results are used in range-based localization methods. Finally, real RSSI data in three typical communication environments are used to evaluate this method. Experiment results show that the proposed localization method using interval data clustering RSSI-D (distance estimation based on RSSI) estimation can get better precision in different environments.关键词
无线传感器网络/定位/不确定性数据/聚类/区间数Key words
Wireless sensor networks (WSN), localization, uncertain data, clustering algorithm, interval data引用本文复制引用
彭宇,罗清华,王丹,彭喜元..基于区间数聚类的无线传感器网络定位方法[J].自动化学报,2012,38(7):1190-1199,10.基金项目
国家自然科学基金(61102038),教育部高等学校博士学科点专项科研基金(20092302110013),教育部新世纪优秀人才支持计划(NCET-10-0062)资助 （61102038）
