An introduction to Bayesian techniques for sensor networks

Authors:
Bin Liu
Affiliations:
Department of Electrical and Computer Engineering, Duke University, Durham, NC
Venue:
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Year:
2010

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Abstract

The purpose of this paper is threefold. First, it briefly introduces basic Bayesian techniques with emphasis on present applications in sensor networks. Second, it reviews modern Bayesian simulation methods, thereby providing an introduction to the main building blocks of the advanced Markov chain Monte Carlo and Sequential Monte Carlo methods. Lastly, it discusses new interesting research horizons.