DocumentCode :
2392584
Title :
A computational framework for quality of information analysis for detection-oriented sensor networks
Author :
Zahedi, Sadaf ; Srivastava, Mani B. ; Bisdikian, Chatschik
Author_Institution :
Electr. Eng. Dept., Univ. of California, Los Angeles, CA
fYear :
2008
fDate :
16-19 Nov. 2008
Firstpage :
1
Lastpage :
7
Abstract :
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.
Keywords :
distributed sensors; sensor fusion; Qol calculation; decision architectures; detection-oriented sensor networks; hypothesis-testing-based computational framework; quality of information analysis; sensor-enabled detection systems; Computer networks; Condition monitoring; Government; Information analysis; Intelligent sensors; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 2008. MILCOM 2008. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-2676-8
Electronic_ISBN :
978-1-4244-2677-5
Type :
conf
DOI :
10.1109/MILCOM.2008.4753079
Filename :
4753079
Link To Document :
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