13 July 2000 Adaptive threshold control in an autonomous sensor field
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Abstract
An autonomous field of sensor nodes needs to acquire and track targets of interest traversing the field. Small detection ranges limit the detectability of the field. As detections occur in the field, detections are transmitted acoustically to a master node. Both detection processing and acoustic communication drain a node's battery. In order to maximize field life, an approach must be developed to control detector thresholds and acoustic communication routing. To address these problems, an adaptive threshold control scheme has been developed. This technique minimizes the power consumption while still maintaining the field level probability of detection. Acoustic communication routing of the field is also performed to minimize power consumption and therefore, extend the life of the field. The control law developed is based on an evolutionary programming approach. Evolutionary programming is a stochastic optimization algorithm used to solve N-P hard problems. Results are provided which demonstrate the ability to maintain a constant field level probability of detection while extending the life of the sensor field.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dale M. Klamer, Mark W. Owen, and Barbara A. Dean "Adaptive threshold control in an autonomous sensor field", Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); doi: 10.1117/12.391978; https://doi.org/10.1117/12.391978
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