NESL Technical Report #: 2008-8-1
Abstract: An application planner’s point of view of sensor-enabled detection systems is considered and a hypothesis-testing-based computational framework for evaluating thequality of information (QoI) supported by a sensor networkdeployment is explored. Through a common, modular analysisframework, that decomposes the computational burden of QoIanalysis, the QoI properties of various decision architecturesare investigated and trade-offs explored at the sensor, cluster,and system-level. Both finite and infinite-sized networks areconsidered and extensions of the analysis framework to faultysensor and the impact of calibration are also investigated.
Publication Forum: Proceedings of MILCOM 2008
Page (Count): 7
Place: San DIego, CA
Public Document?: Yes
NESL Document?: Yes
Document category: Conference Paper