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Distributed Bayesian Hypothesis Testing in Sensor Networks M. Alanyali S. Venkatesh O. Savas S. Aeron
 

Summary: Distributed Bayesian Hypothesis Testing in Sensor Networks
M. Alanyali S. Venkatesh O. Savas S. Aeron
Abstract-- We consider the scenario of N distributed noisy
sensors observing a single event. The sensors are distributed
and can only exchange messages through a network. The
sensor network is modelled by means of a graph, which
captures the connectivity of different sensor nodes in the
network. The task is to arrive at a consensus about the event
after exchanging such messages. The focus of this paper is
twofold: a) characterize conditions for reaching a consensus;
b) derive conditions for when the consensus converges to the
centralized MAP estimate.
The novelty of the paper lies in applying belief propagation
as a message passing strategy to solve a distributed hypothesis
testing problem for a pre-specified network connectivity. We
show that the message evolution can be re-formulated as the
evolution of a linear dynamical system, which is primarily
characterized by network connectivity. This leads to a fun-
damental understanding of as to which network topologies
naturally lend themselves to consensus building and conflict

  

Source: Alanyali, Murat - Department of Electrical and Computer Engineering, Boston University

 

Collections: Engineering