THE PROBABILISTIC ANALYSIS OF RSSI-BASED DISTANCE ESTIMATORS IN WIRELESS SENSOR NETWORK

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业信息学研究室 > 工业控制系统研究室

	THE PROBABILISTIC ANALYSIS OF RSSI-BASED DISTANCE ESTIMATORS IN WIRELESS SENSOR NETWORK
	Zang CZ(臧传治); Liang W(梁炜); Yu HB(于海斌)
	2007
会议名称	2007 International Conference on Intelligent Computing (ICIC 2007)
会议日期	August 21–24, 2007
会议地点	Qingdao, China
页码	1545-1550
通讯作者	于海斌
中文摘要	It is well known that localization plays an important role in wireless sensor network applications. There are two categories of localization approaches, such as range-based and range-free. RSSI(Received Signal Strength Indicator)-based method is in the first category. Three RSSI-based distance estimators, Biased Estimator (BE), Unbiased Estimator (UE) and Maximal Likelihood Estimator (MLE), are presented to calculate the distance. The biased estimator is the existing method which is used extensively in the literatures, while the unbiased estimator and maximal likelihood estimator are two new estimators developed in this paper. The probabilistic analysis of those estimators is done to compare the performance among them. The probabilistic analysis and simulations show that under some condition we should choose unbiased estimator and under some other condition we should choose MLE.
产权排序	1
会议录	Proceedings of the 2007 International Conference on Intelligent Computing (ICIC 2007)
语种	英语
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/9747]
专题	沈阳自动化研究所_工业信息学研究室_工业控制系统研究室
推荐引用方式 GB/T 7714	Zang CZ,Liang W,Yu HB. THE PROBABILISTIC ANALYSIS OF RSSI-BASED DISTANCE ESTIMATORS IN WIRELESS SENSOR NETWORK[C]. 见:2007 International Conference on Intelligent Computing (ICIC 2007). Qingdao, China. August 21–24, 2007.