Distributed Bayesian Hypothesis Testing with Distributed Data Fusion

Zeineddine Chair, Pramod K. Varshney

Research output: Contribution to journalArticle

69 Scopus citations

Abstract

The paper considers the problem of distributed Bayesian hypothesis testing with distributed data fusion. In the distributed data fusion configuration, some signal processing is done locally at the sensors and the partial results are transmitted to the other sensors for further processing and fusion. Global results are obtained at each of the sensors. This system configuration is attractive for many applications from the survivability point of view. The problem is formulated; and optimum decision rules and fusion schemes are obtained that minimize the Bayesian risk at each sensor. An example is presented for illustration.

Original languageEnglish (US)
Pages (from-to)695-699
Number of pages5
JournalIEEE Transactions on Systems, Man and Cybernetics
Volume18
Issue number5
DOIs
StatePublished - Jan 1 1988

ASJC Scopus subject areas

  • Engineering(all)

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