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题名: THE PROBABILISTIC ANALYSIS OF RSSI-BASED DISTANCE ESTIMATORS IN WIRELESS SENSOR NETWORK
作者: 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: Proceedings of the 2007 International Conference on Intelligent Computing (ICIC 2007)
出版日期: 2007
页码: 1545-1550
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
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9747
Appears in Collections:工业信息学研究室_工业控制系统研究室_会议论文

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Recommended Citation:
臧传治; 梁炜; 于海斌.THE PROBABILISTIC ANALYSIS OF RSSI-BASED DISTANCE ESTIMATORS IN WIRELESS SENSOR NETWORK.见:.Proceedings of the 2nd IEEE International conference on Sensor Networks and Applications (SNA2006),,2006,1545-1550
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文件名: THE PROBABILISTIC ANALYSIS OF RSSI-BASED DISTANCE ESTIMATORS IN WIRELESS SENSOR NETWORK.pdf
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