Kang, GuoDong and Pérennou, Tanguy and Diaz, Michel Barycentric location estimation for indoors localization in opportunistic wireless networks. (2008) In: 2nd International Conference on Future Generation Communication and Networking (FGCN 2008), 13-15 Dec 2008, Sanya, China .
(Document in English)
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Official URL: http://www.sersc.org/FGCN2008/
The localization requirements for mobile nodes in wireless (sensor) networks are increasing. However,most research works are based on range measurements between nodes which are often oversensitive to the measurement error. In this paper we propose a location estimation scheme based on moving nodes that opportunistically exchange known positions. The user couples a linear matrix inequality(LMI) method with a barycenter computation to estimate its position. Simulations have shown that the accuracy of the estimation increases when the number of known positions increases, the radio range decreases and the node speeds increase. The proposed method only depends on a maximum RSS threshold to take into account a known position, which makes it robust and easy to implement. To obtain an accuracy of 1 meter, a user may have to wait at the same position for 5 minutes, with 8 pedestrians moving within range on average.
|Item Type:||Conference or Workshop Item (Paper)|
|Audience (conference):||International conference proceedings|
|Institution:|| Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE|
Other partners > Northwestern Polytechnical University (CHINA)
French research institutions > Centre National de la Recherche Scientifique - CNRS
Département de Mathématiques, Informatique, Automatique - DMIA (Toulouse, France) - Modelisation et Architecture des Systèmes - MARS
Laboratoire d'Analyse et d'Architecture des Systèmes - LAAS (Toulouse, France) - Outils Logiciels pour la Communication - OLC
|Deposited By:||Tanguy PERENNOU|
|Deposited On:||10 Dec 2008 14:40|
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