Ad hoc networking Markov random fields Decision making
Linda E. Doyle, Anil C. Kokaram, Senan J. Doyle, and Timothy K. Forde, Ad hoc Networking, Markov Random Fields, and Decision Making, IEEE Signal Processing Magazine, 23, (5), 2006, p63 - 73
23 5 IEEE Signal Processing Magazine
Our central proposition is that by articulating decision
making in an ad hoc
network using a Markov
random field (MRF) maximum
a posteriori (MAP)
approach, a viable decision-
can be designed.
This article explains
why distributed decision
making in ad hoc networks is so challenging. It describes the
MRF-MAP decision-making framework and in doing so highlights
the many insights gained from image processing. The
framework is explored in the context of deciding between different
ad hoc routing protocols.
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