Tryear: 2008

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Title: A Computational Framework for Quality of Information Analysis for Detection-oriented Sensor Networks

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.

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Urlpdfpaper: http://nesl.ee.ucla.edu/~neslfw/documents/conference/2008/MILCOM08_szahedi_qoi.pdf

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Pubin: Proceedings of MILCOM 2008

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Pubpagecount: 7

Pubdate: 2008-11-25

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Pubplace: San DIego, CA

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Document category: #<DocumentCategory:0x007f418e305968>

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