The distributed detection problem is considered from an information theoretic point of view. An entropy-based cost function is used for system optimization. This cost function maximizes the amount of information transfer between the input and the output. Distributed detection system topologies with and without a fusion center are considered and an optimal fusion rule and optimal decision rules are derived.
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Library and Information Sciences