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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)
Department工业控制系统研究室
Conference Name2007 International Conference on Intelligent Computing (ICIC 2007)
Conference DateAugust 21–24, 2007
Conference PlaceQingdao, China
Source PublicationProceedings of the 2007 International Conference on Intelligent Computing (ICIC 2007)
2007
Pages1545-1550
Contribution Rank1
AbstractIt 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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/9747
Collection工业信息学研究室_工业控制系统研究室
Corresponding AuthorYu HB(于海斌)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences
2.Graduate School of the Chinese Academy of Sciences
Recommended Citation
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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