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Proceedings Paper

Sensor management and Bayesian networks
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Paper Abstract

This paper introduces the sensor management problem and uses Bayesian networks as a scalable approach to handling the operational decisions concerning the sensor network. In general, single sensor systems only provide partial information on the state of the event or environment while multisensor systems provide a synergistic effect, which improves the quality and availability of information. Data fusion techniques can effectively combine this environmental information from similar and/or dissimilar sensors. Until recently, the operator could manage the systems easily, but current systems are more complex and produce data more quickly than earlier versions. A sensor manager becomes necessary when this occurs to assist the operators. Researchers have developed many single point sensor management solutions. General sensor management algorithms that can handle a variety of sensor network applications have yet to emerge.

Paper Details

Date Published: 12 April 2004
PDF: 11 pages
Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); doi: 10.1117/12.542241
Show Author Affiliations
Nuri Yilmazer, Syracuse Univ. (United States)
Lisa Ann Osadciw, Syracuse Univ. (United States)


Published in SPIE Proceedings Vol. 5434:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004
Belur V. Dasarathy, Editor(s)

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