DocumentCode :
2624693
Title :
Experimental analysis of RSSI-based indoor localization with IEEE 802.15.4
Author :
Goldoni, Emanuele ; Savioli, Alberto ; Risi, Marco ; Gamba, Paolo
Author_Institution :
Dept. of Electron., Univ. of Pavia, Pavia, Italy
fYear :
2010
fDate :
12-15 April 2010
Firstpage :
71
Lastpage :
77
Abstract :
This paper presents a comparison between some of the most used ranging localization methods based on the Received Signal Strength Indicator (RSSI) in low-power IEEE 802.15.4 wireless sensor networks. In particular, the Trilateration, the Min-Max and the Maximum-Likelihood algorithms have been compared using only a limited number of reference nodes. In order to perform an exhaustive comparison we carried out tests in an indoor environment: dozens of RSSI values for every estimation have been gathered and cleaned from outliers values. Our results show that it is possible to some extent to obtain positioning information from nodes equipped with IEEE 802.15.4 radio modules, given the position and the number of reference nodes.
Keywords :
IEEE standards; access protocols; indoor radio; maximum likelihood estimation; minimax techniques; personal area networks; wireless sensor networks; IEEE 802.15.4; RSSI-based indoor localization; maximum-likelihood algorithm; min-max algorithm; ranging localization methods; received signal strength indicator; trilateration algorithm; wireless sensor networks; Antenna measurements; Indoor environments; Intrusion detection; Maximum likelihood detection; Maximum likelihood estimation; Performance evaluation; Signal analysis; Temperature sensors; Testing; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Conference (EW), 2010 European
Conference_Location :
Lucca
Print_ISBN :
978-1-4244-5999-5
Type :
conf
DOI :
10.1109/EW.2010.5483396
Filename :
5483396
Link To Document :
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