Applications of Belief Propagation in CSMA Wireless Networks

Abstract

“Belief propagation” (BP) is an efficient way to solve “inference” problems in graphical models, such as Bayesian networks and Markov random fields. It has found great success in many application areas due to its simplicity, high accuracy, and distributed nature. This paper is a first attempt to apply BP algorithms in CSMA wireless networks. Compared to… (More)

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Cite this paper

@inproceedings{Hong2011ApplicationsOB, title={Applications of Belief Propagation in CSMA Wireless Networks}, author={Cai Hong}, year={2011} }