A Computational Framework for Quality of Information Analysis for Detection-oriented Sensor Networks [Conference Paper]

NESL Technical Report #: 2008-8-1

Authors:

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

Date: 2008-11-25

Place: San DIego, CA

Public Document?: Yes

NESL Document?: Yes

Document category: Conference Paper

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