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.
- Decentralized detection
- namic programming
- sequential analysis
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Library and Information Sciences