A computational framework for quality of information analysis for detection-oriented sensor networks

An application plannerpsilas point of view of sensor-enabled detection systems is considered and a hypothesis-testing-based computational framework for evaluating the quality of information (QoI) supported by a sensor network deployment is explored. Through a common, modular analysis framework that decomposes the computational burden of QoI calculation, the QoI properties of various decision architectures are investigated and trade-offs explored at the sensor, cluster, and system-level. Both finite and infinite-sized networks are considered and extensions of the analysis framework to faulty sensor and the impact of calibration are also investigated.