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

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3 Author(s)
Sadaf Zahedi ; Univ. of California, Los Angeles, Electrical Engineering Department, 90095-1594, USA ; Mani B. Srivastava ; Chatschik Bisdikian

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.

Published in:

MILCOM 2008 - 2008 IEEE Military Communications Conference

Date of Conference:

16-19 Nov. 2008