DocumentCode
2223494
Title
Experiments on the RSSI as a Range Estimator for Indoor Localization
Author
Dieng, Ndeye Amy ; Chaudet, Claude ; Charbit, Maurice ; Toutain, Laurent ; Ben Meriem, Tayeb
Author_Institution
Inst. Telecom, Telecom ParisTech, Paris, France
fYear
2012
fDate
7-10 May 2012
Firstpage
1
Lastpage
5
Abstract
Indoor localization has been the subject of many studies and still remains a very difficult issue due to the presence of multiple paths, fading, shadowing and timely variations in the environment. This paper studies the use of the Received Signal Strength Indicator (RSSI) metric for range estimation in a wireless sensor network. We perform experimental studies which show that, despite a moderate antenna directivity (confirmed by experience in an anechoic chamber), the signal attenuation depends on both of the anchor node and the target node antennas orientation. We also show that the log normal shadow model, often used to model indoor propagation, is not accurate enough to capture irregularities in an office environment. In a 4m×3m office with five anchor nodes and one target node, a confidence interval of about 1m is reached by a maximum likelihood-based localization, only slightly better than random localization.
Keywords
antennas; indoor radio; maximum likelihood estimation; radiowave propagation; wireless sensor networks; RSSI metric; anchor node antennas; anechoic chamber; confidence interval; indoor localization; indoor propagation; maximum likelihood-based localization; moderate antenna directivity; random localization; range estimator; received signal strength indicator metric; signal attenuation; target node antennas; well-known trilateration algorithm; wireless sensor network; Accuracy; Antenna measurements; Antennas; Attenuation; Conferences; Maximum likelihood estimation; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
New Technologies, Mobility and Security (NTMS), 2012 5th International Conference on
Conference_Location
Istanbul
ISSN
2157-4952
Print_ISBN
978-1-4673-0228-9
Electronic_ISBN
2157-4952
Type
conf
DOI
10.1109/NTMS.2012.6208722
Filename
6208722
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