NDLI: Distributed detection via Bayesian updates and consensus

Content Provider	IEEE Xplore Digital Library
Author	Liu Qipeng Zhao Jiuhua Wang Xiaofan
Copyright Year	2015
Description	Author affiliation: Inst. of Complexity Sci., Qingdao Univ., Qingdao, China (Liu Qipeng) \|\| Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China (Zhao Jiuhua; Wang Xiaofan)
Abstract	In this paper, we discuss a class of distributed detection algorithms which can be viewed as implementations of Bayes' law in distributed settings. Some of the algorithms are proposed in the literature most recently, and others are first developed in this paper. The common feature of these algorithms is that they all combine (i) certain kinds of consensus protocols with (ii) Bayesian updates. They are different mainly in the aspect of the type of consensus protocol and the order of the two operations. After discussing their similarities and differences, we compare these distributed algorithms by numerical examples. We focus on the rate at which these algorithms detect the underlying true state of an object. We find that (a) The algorithms with consensus via geometric average is more efficient than that via arithmetic average; (b) The order of consensus aggregation and Bayesian update does not apparently influence the performance of the algorithms; (c) The existence of communication delay dramatically slows down the rate of convergence; (d) More communication between agents with different signal structures improves the rate of convergence.
Starting Page	6992
Ending Page	6997
File Size	207651
Page Count	6
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7260745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	Protocols Bayes' Law Aggregates Distributed Detection Robot sensing systems Probability distribution Bayes methods Networked Systems Detection algorithms Optimization Consensus
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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