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2008
IEEE

Barycentric Location Estimation for Indoors Localization in Opportunistic Wireless Networks

9 years 5 months ago
Barycentric Location Estimation for Indoors Localization in Opportunistic Wireless Networks
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.
GuoDong Kang, Tanguy Pérennou, Michel Diaz
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where FGCN
Authors GuoDong Kang, Tanguy Pérennou, Michel Diaz
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