An Information Theoretic Approach to the Distributed Detection Problem

Imad Y. Hoballah, Pramod K. Varshney

Research output: Contribution to journalArticle

52 Scopus citations

Abstract

The distributed detection problem is considered from an information theoretic point of view. An entropy-based cost function is used for system optimization. This cost function maximizes the amount of information transfer between the input and the output. Distributed detection system topologies with and without a fusion center are considered and an optimal fusion rule and optimal decision rules are derived.

Original languageEnglish (US)
Pages (from-to)988-994
Number of pages7
JournalIEEE Transactions on Information Theory
Volume35
Issue number5
DOIs
StatePublished - Sep 1989

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ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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