Decentralized Sequential Detection with a Fusion Center Performing the Sequential Test

Venugopal V. Veeravalli, Tamer Başar, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

149 Scopus citations


A decentralized sequential detection problem is considered in which each one of a set of sensors receives a sequence of observations about the hypothesis. Each sensor sends a sequence of summary messages to the fusion center where a sequential test is carried out to determine the true hypothesis. A Bayesian framework for this problem is introduced, and for the case when the information structure in the system is quasi-classical, it is shown that the problem is tractable. A detailed analysis of this case is presented along with some numerical results.

Original languageEnglish (US)
Pages (from-to)433-442
Number of pages10
JournalIEEE Transactions on Information Theory
Issue number2
StatePublished - Mar 1993

All Science Journal Classification (ASJC) codes

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


  • Decentralized detection
  • dy-
  • namic programming
  • sequential analysis


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