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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)
作者部门工业控制系统研究室
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
会议录名称Proceedings of the 2007 International Conference on Intelligent Computing (ICIC 2007)
2007
页码1545-1550
产权排序1
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.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/9747
专题工业信息学研究室_工业控制系统研究室
通讯作者Yu HB(于海斌)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences
2.Graduate School of the Chinese Academy of Sciences
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],2007:1545-1550.
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