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Simultaneous localization and mapping in wireless sensor networks

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Dumont, Thierry and Le Corff, Sylvain (2014) Simultaneous localization and mapping in wireless sensor networks. Signal Processing: Image Communication, Volume 101 (Number 2). pp. 192-203. doi:10.1016/j.sigpro.2014.02.011

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Official URL: http://dx.doi.org/10.1016/j.sigpro.2014.02.011

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Abstract

Mobile device localization in wireless sensor networks is a challenging task. It has already been addressed when the WiFi propagation maps of the access points are modeled deterministically or estimated using an offline human training calibration. However, these techniques do not take into account the environmental dynamics. In this paper, the maps are assumed to be made of an average indoor propagation model combined with a perturbation field which represents the influence of the environment. This perturbation field is embedded with a distribution describing the prior knowledge about the environmental influence. The device is localized with Sequential Monte Carlo methods and relies on the estimation of the propagation maps. This inference task is performed online, using the observations sequentially, with a new online Expectation Maximization based algorithm. The performance of the algorithm is illustrated with Monte Carlo experiments using both simulated data and a true data set.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Wireless sensor networks, Wireless localization
Journal or Publication Title: Signal Processing: Image Communication
Publisher: Elsevier Science Inc
ISSN: 0923-5965
Official Date: August 2014
Dates:
DateEvent
August 2014Published
22 February 2014Available
14 February 2014Accepted
28 February 2013Submitted
Volume: Volume 101
Number: Number 2
Page Range: pp. 192-203
DOI: 10.1016/j.sigpro.2014.02.011
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: ID Services (France), Engineering and Physical Sciences Research Council (EPSRC)

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