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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/10098

Title: Ad hoc Networking, Markov Random Fields, and Decision Making
Author: DOYLE, SENAN
DOYLE, LINDA
FORDE, TIM
KOKARAM, ANIL CHRISTOPHER
Sponsor: Science Foundation Ireland
Keywords: Ad hoc networking
Markov random fields
Decision making
Issue Date: 2006
Citation: 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
Series/Report no.: 23
5
IEEE Signal Processing Magazine
Abstract: 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- making framework 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.
Description: PUBLISHED
URI: http://www.ctvr.ie/docs/EN_Pubs/AdHocMarkovDecisionIEEESigProcSeptOct2006.pdf
http://hdl.handle.net/2262/10098
ISSN: http://people.tcd.ie/akokaram
Appears in Collections:Electronic & Electrical Eng (Scholarly Publications)

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