Increasing detection performance of surveillance sensor networks (original) (raw)

Abstract

We study a surveillance wireless sensor network (SWSN) comprised of small and low-cost sensors. These are deployed in a region in order to detect objects crossing the field of interest. We address two problems concerning the design and performance of an SWSN: optimal sensor placement and algorithms for object detection in the presence of false alarms. For both problems, we propose explicit decision rules and e"cient algorithmic solutions. Further, we provide several numerical examples and present a simulation model that combines our placement and detection methods. The problem was presented to the Study Group Mathematics with Industry in 2008 by Thales.

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