Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling and Mitigating Errors in Belief Propagation for Distributed
  Detection   We study the behavior of the belief-propagation (BP) algorithm affected by
erroneous data exchange in a wireless sensor network (WSN). The WSN conducts a
distributed binary hypothesis test where the joint statistical behavior of the
sensor observations is modeled by a Markov random field whose parameters are
used to build the BP messages exchanged between the sensing nodes. Through
linearization of the BP message-update rule, we analyze the behavior of the
resulting erroneous decision variables and derive closed-form relationships
that describe the impact of stochastic errors on the performance of the BP
algorithm. We then develop a decentralized distributed optimization framework
to enhance the system performance by mitigating the impact of errors via a
distributed linear data-fusion scheme. Finally, we compare the results of the
proposed analysis with the existing works and visualize, via computer
simulations, the performance gain obtained by the proposed optimization.

33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci