No abstract

There is significant interest in battery-powered sensor networks to be used for detection in a wide variety of applications, from surveillance and security to health and environmental monitoring. Severe energy and bandwidth constraints at each sensor node demand system-level approaches to design that consider detection performance jointly with system-resource constraints. Our approach is to formulate detection problems with constraints on the expected cost arising from transmission (sensor nodes to a fusion node) and measurement (at each sensor node) to address some of the system-level costs in a sensor network. For a given resource constraint, we find that randomization over the choice of measurement and over the choice of when to transmit achieves the best performance (in a Bayesian, Neyman-Pearson, and Ali-Silvey sense). To facilitate design, we describe performance criteria in the send/no-send transmission scenario, where the joint optimization over the sensor nodes decouples into optimization at each sensor node.

There is significant interest in battery or solar-powered sensor networks to be used for detection in a wide variety of applications from surveillance and security to biological applications. Severe energy and bandwidth constraints at each sensor node demand system-level approaches to design that consider detection performance jointly with system-resource constraints. OUT approach is to formulate detection problems with constraints on the ezpected cost arising from transmission (sensor nodes to a fusion center) and measurement (at each sensor node) to address some of the system-level costs in a sensor network. Under a send/no-send scenario for transmission, we find that randomization over the choice of measvrement and choice of send rate achieves the best performance (in a Bayesian, Neyman-Pearson, and Ali-Silvey sense) for a given resource constraint. To facilitate design, we describe some special cases where the joint optimization over the sensor nodes is eliminated.