A Unified Bayesian Decision Theory Perspective to Sensor Networks

In this paper, we propose a unified Bayesian decision theory model to integrate various components of a sensor network. We identify the key aspects of the Bayesian decision theory model, the functionalities of each network component, and the nature of interaction of the various network components in the proposed Bayesian framework. We also highlight some of the research avenues that need to be investigated for each network component. Finally, we present the use of Bayesian decision theory to schedule sensors in an energy-bandwidth constrained sensor network for target tracking