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Modeling and Mitigating Errors in Belief Propagation for Distributed Detection (2021)

Abdi, Younes; Ristaniemi, Tapani (2021). Modeling and Mitigating Errors in Belief Propagation for Distributed Detection. IEEE Transactions on Communications, Early Access . DOI: 10.1109/TCOMM.2021.3056679

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Julkaisun kaikki tekijät tai toimittajat: Abdi, Younes; Ristaniemi, Tapani

Lehti tai sarja: IEEE Transactions on Communications

ISSN: 0090-6778

eISSN: 1558-0857

Julkaisuvuosi: 2021

Volyymi: Early Access

Kustantaja: Institute of Electrical and Electronics Engineers (IEEE)

Julkaisumaa: Yhdysvallat (USA)

Julkaisun kieli: englanti

DOI: https://doi.org/10.1109/TCOMM.2021.3056679

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Rinnakkaistallenteen verkko-osoite (pre-print): https://arxiv.org/abs/2004.05220


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 multidimensional hypothesis test over binary random variables. 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.

YSO-asiasanat: hajautetut järjestelmät; sensoriverkot; langaton tiedonsiirto; signaalinkäsittely; algoritmit; optimointi

Vapaat asiasanat: distributed systems; cooperative communications; likelihood-ratio test; communication errors; computation errors; blind signal processing; message-passing algorithms; linear data-fusion; factor graphs

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OKM-raportointi: Ei, julkaisuprosessissa

Alustava JUFO-taso: 2

Viimeisin päivitys 2021-09-02 klo 13:38