Title :
Decentralized sequential detection with a fusion center performing the sequential test
Author :
Veeravalli, Venugopal V. ; Basar, Tamer ; Poor, Vincent H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
3/1/1993 12:00:00 AM
Abstract :
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
Keywords :
Bayes methods; dynamic programming; sensor fusion; signal detection; Bayesian framework; decentralized sequential detection; dynamic programming; fusion center; hypothesis testing; numerical results; quasi-classical information structure; sensor fusion; sequential test; summary messages; tractable problem; Bayesian methods; Costs; Decision making; Helium; Ice; Performance evaluation; Random variables; Relays; Sensor fusion; Sequential analysis;
Journal_Title :
Information Theory, IEEE Transactions on
