Sensor management and Bayesian networks

Nuri Yilmazer; Lisa Ann Osadciw

doi:10.1117/12.542241

12 April 2004 Sensor management and Bayesian networks

Nuri Yilmazer, Lisa Ann Osadciw

Proceedings Volume 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004; (2004) https://doi.org/10.1117/12.542241
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Nuri Yilmazer and Lisa Ann Osadciw "Sensor management and Bayesian networks", Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); https://doi.org/10.1117/12.542241

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