Abstract
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 language | English (US) |
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Pages (from-to) | 301-322 |
Number of pages | 22 |
Journal | Journal of the Franklin Institute |
Volume | 336 |
Issue number | 2 |
DOIs | |
State | Published - 1999 |
Externally published | Yes |
Keywords
- Decentralized decision-making
- Season fusion
- Sequential analysis
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications
- Applied Mathematics