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