Designing Distributed Sensor Detection Systems Using the Scan Statistic

Benedito J. B. Fonseca ()
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Benedito J. B. Fonseca: Northern Illinois University

Chapter 9 in Handbook of Scan Statistics, 2024, pp 145-175 from Springer

Abstract: Abstract The scan statistic has been successfully used to detect anomalies in georeferenced data, making it a suitable candidate for fusing measurements in distributed sensor systems to detect emitters in a region. In such systems, sensor nodes are spread in the region and periodically collect measurements from different locations, and a fusion center combines the measurements to decide whether the region contains an emitter or not. The value of the scan statistic to fuse the sensor measurements has been reported by researchers in the past; however, when designing a system using the scan statistic, a system designer encounters several questions specific to distributed sensor systems: How to design the scan statistic to satisfy a maximum probability of false alarm? How can the designer ensure the detection performance of the system? How to build clusters or tune the scan statistic to improve the detection performance? In this paper, we review some of the recent results with the aim of answering these questions.

Keywords: Scan statistics; Distributed sensor systems; Emitter detection (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-8033-4_60

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DOI: 10.1007/978-1-4614-8033-4_60

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