Sequential decision fusion: Theory and applications

Research output: Contribution to journalArticlepeer-review


A decision fusion problem is considered in which each one of a set of sensors receives a sequence of observations about the state of the system. The observations are quantized at each time step and sent to the fusion center where a binary decision is to be made at a stopping time. Applications of this problem setting are discussed and techniques for finding optimal solutions are presented.

Original languageEnglish (US)
Pages (from-to)301-322
Number of pages22
JournalJournal of the Franklin Institute
Issue number2
StatePublished - 1999
Externally publishedYes


  • Decentralized decision-making
  • Season fusion
  • Sequential analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Applied Mathematics


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