Paper
4 August 2000 Sensor management in a sensor-rich environment
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Abstract
This paper presents an adaptation of a comprehensive sensor management model, initially developed for C3I applications, to a new class of problems, a data rich, information poor, sensor rich environment. The sensor management model described is a hybrid distributed and hierarchical model in which the sensor scheduling function is distributed across system functional or physical boundaries with global oversight of mission goals and information requests maintained by a centralized Mission Manager. The introduction of a meta-scheduler block is only a n artifact of the opportunity afforded by the large number of sensors to implement a natural subdivision of a single sensor schedule into several spatially distributed sensor schedulers. System performance is enhanced by allowing local autonomy at the sensor, by distributing sensor scheduling among subsystems, and through an interrupt driven process in which local sensor measurements are abstracted to obtain global context. An aircraft health and usage monitoring system, a contemporary example of a sensor rich environment, is used to illustrate the issues involved in extending sensor management beyond C3I environments.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carl G. Schaefer Jr. and Kenneth J. Hintz "Sensor management in a sensor-rich environment", Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); https://doi.org/10.1117/12.395093
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Sensors

Environmental sensing

Control systems

Environmental management

Data acquisition

Environmental monitoring

Data fusion

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