Bayesian-based localization in inhomogeneous transmission media

Authors:
Esmaeil S. Nadimi;Victoria Blanes-Vidal;Per Michael Johansen
Affiliations:
University of Southern Denmark, Odense, Denmark;University of Southern Denmark, Odense, Denmark;University of Southern Denmark, Odense, Denmark
Venue:
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Year:
2013

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Abstract

In this paper, we propose a novel robust probabilistic approach based on the Bayesian inference using received-signal-strength (RSS) measurements with varying path-loss exponent. We derived the probability density function (pdf) of the distance between any two sensors in the network with heterogeneous transmission medium as a function of the given RSS measurements and the characteristics of the heterogeneous medium. The results of this study show that the localization mean square error (MSE) of the Bayesian-based method outperformed all other existing localization approaches.