The Probabilistic analysis of 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3rd International Conference on Natural Computation (ICNC 2007)
会议日期August 24-27, 2007
会议地点Haikou, China
页码270-275
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 ALE.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录ICNC 2007: Third International Conference on Natural Computation, Vol 5, Proceedings
会议录出版者IEEE COMPUTER SOC
会议录出版地LOS ALAMITOS
语种英语
WOS记录号WOS:000250429000053
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/8138]  
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 distance estimators in wireless sensor network[C]. 见:3rd International Conference on Natural Computation (ICNC 2007). Haikou, China. August 24-27, 2007.
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