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Detection Capabilities of Randomly-Deployed sensor fields

INTERNATIONAL JOURNAL OF DISTRIBUTED sensor NETWORKS 2009年第6期5卷 708-728页

作者： Nelson, Jill K. Rowe, Errol G. Carter, G. Clifford George Mason Univ Dept Elect & Comp Engn Fairfax VA 22030 USA USN Undersea Warfare Ctr Newport RI USA

Distributed sensor fields have recently gained popularity as a means for detecting intruders moving through a protected area of the ocean. We characterize the detection capabilities of a network of randomly-deployed sensors with varying sensing capabilities. We develop a framework for analytically approximating the probability that such a sensor field detects a constant course target moving through the region as a function of the number of sensors deployed and the statistical properties that govern the sensing range. Analytical and empirical results indicate that, when the total sensing area is fixed, a set of smaller distributed sensors can achieve significantly improved detection performance relative to a single large sensor. We also study the relationship between coverage of a region of interest and likelihood of detecting a constant course intruder moving through that region. We derive expressions for the average number of sensors required to achieve a prescribed likelihood of detection and level of coverage and conclude that detection and coverage are fundamentally different characterizations of the capabilities of a sensor field. In fact, the number of sensors required to achieve a particular detection level may be several orders of magnitude smaller than that required to achieve the same level of coverage.

关键词： Distributed sensor Networks heterogeneous sensor field Spatial Poisson Process Detection Versus Coverage

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