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Locating Sensors for Detecting Source-to-Target Patterns of Special Nuclear Material Smuggling: A Spatial Information Theoretic Approach

Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah, 84112, USA
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Sensors 2010, 10(9), 8070-8091; https://doi.org/10.3390/s100908070
Received: 2 July 2010 / Revised: 27 July 2010 / Accepted: 13 August 2010 / Published: 27 August 2010
(This article belongs to the Special Issue Intelligent Sensors)
In this paper, a spatial information-theoretic model is proposed to locate sensors for detecting source-to-target patterns of special nuclear material (SNM) smuggling. In order to ship the nuclear materials from a source location with SNM production to a target city, the smugglers must employ global and domestic logistics systems. This paper focuses on locating a limited set of fixed and mobile radiation sensors in a transportation network, with the intent to maximize the expected information gain and minimize the estimation error for the subsequent nuclear material detection stage. A Kalman filtering-based framework is adapted to assist the decision-maker in quantifying the network-wide information gain and SNM flow estimation accuracy. View Full-Text
Keywords: Kalman filter; sensor network; nuclear material smuggling; information theory Kalman filter; sensor network; nuclear material smuggling; information theory
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Przybyla, J.; Taylor, J.; Zhou, X. Locating Sensors for Detecting Source-to-Target Patterns of Special Nuclear Material Smuggling: A Spatial Information Theoretic Approach. Sensors 2010, 10, 8070-8091.

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