Wireless Sensor Network Localization with Spatially Correlated Shadowing | IEEE Conference Publication | IEEE Xplore

Wireless Sensor Network Localization with Spatially Correlated Shadowing


Abstract:

The problem of estimating the positions of the sensors in a wireless sensor network is commonly known as the wireless sensor localization problem and has been formulated ...Show More

Abstract:

The problem of estimating the positions of the sensors in a wireless sensor network is commonly known as the wireless sensor localization problem and has been formulated as a relaxed semidefinite programming problem assuming inter-sensor distance measures corrupted by additive Gaussian noise. In this paper, we assume received signal strength measurements under a spatially correlated lognormal shadowing pathloss model and formulate the corresponding non-convex maximum likelihood distance estimator. We apply a Taylor approximation to the objective function, and then relax the problem to a semidefinite program. The localization performance of the approximation is analyzed and is shown to be satisfactory in the case the shadowing covariance is unknown, and excellent when known.
Date of Conference: 23-27 May 2010
Date Added to IEEE Xplore: 01 July 2010
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Conference Location: Cape Town, South Africa

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