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

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3 Author(s)
Zahedi, S. ; Electr. Eng. Dept., Univ. of California, Los Angeles, CA ; Srivastava, M.B. ; Bisdikian, C.

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:

Military Communications Conference, 2008. MILCOM 2008. IEEE

Date of Conference:

16-19 Nov. 2008