Uniformly reweighted belief propagation for distributed Bayesian hypothesis testing

Penna, Federico and Wymeersch, Henk and Savic, Vladimir (2011). Uniformly reweighted belief propagation for distributed Bayesian hypothesis testing. In: "20011 IEEE of Statistical Signal Processing Workshop (SSP)", 28/06/2011 - 30/06/2011, Niza, Francia. ISBN 978-1-4577-0569-4.

Description

Title: Uniformly reweighted belief propagation for distributed Bayesian hypothesis testing
Author/s:
  • Penna, Federico
  • Wymeersch, Henk
  • Savic, Vladimir
Item Type: Presentation at Congress or Conference (Article)
Event Title: 20011 IEEE of Statistical Signal Processing Workshop (SSP)
Event Dates: 28/06/2011 - 30/06/2011
Event Location: Niza, Francia
Title of Book: Proceedings of 20011 IEEE of Statistical Signal Processing Workshop (SSP)
Date: 2011
ISBN: 978-1-4577-0569-4
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Belief propagation (BP) is a technique for distributed inference in wireless networks and is often used even when the underlying graphical model contains cycles. In this paper, we propose a uniformly reweighted BP scheme that reduces the impact of cycles by weighting messages by a constant ?edge appearance probability? rho ? 1. We apply this algorithm to distributed binary hypothesis testing problems (e.g., distributed detection) in wireless networks with Markov random field models. We demonstrate that in the considered setting the proposed method outperforms standard BP, while maintaining similar complexity. We then show that the optimal ? can be approximated as a simple function of the average node degree, and can hence be computed in a distributed fashion through a consensus algorithm.

More information

Item ID: 12196
DC Identifier: http://oa.upm.es/12196/
OAI Identifier: oai:oa.upm.es:12196
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5967807
Deposited by: Memoria Investigacion
Deposited on: 30 Aug 2012 10:14
Last Modified: 21 Apr 2016 11:24
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