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Statistica Sinica 16(2006), 495-522





LOCATION ESTIMATION IN WIRELESS NETWORKS:

A BAYESIAN APPROACH


David Madigan$^{1,2}$, Wen-Hua Ju$^2$, P. Krishnan$^2$, A. S. Krishnakumar$^2$
and Ivan Zorych$^1$


$^1$Rutgers University and $^2$Avaya Labs Research


Abstract: We present a Bayesian hierarchical model for indoor location estimation in wireless networks. We demonstrate that our model achieves accuracy that is similar to other published models and algorithms. By harnessing prior knowledge, our model drastically reduces the requirement for training data as compared with existing approaches.



Key words and phrases: Bayesian graphical models, BUGS, localization, Markov chain Monte Carlo, sensor networks.

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