ABSTRACT
In this section, we selectively explore some aspects of the theoretical framework that has been developed to analyze the nature, performance, and fundamental limits for information processing in the context of data fusion. In particular, we discuss how Bayesian methods for distributed data fusion can be interpreted from the point of view information theory. Consequently, information theory can provide a common framework for distributed detection and communication tasks in sensor networks.
