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• Taylor, J
• Zhou, X
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• Taylor, J
• Zhou, X

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Sensors 2010, 10(9), 8070-8091; doi:10.3390/s100908070

Article

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

Jay Przybyla, Jeffrey Taylor and Xuesong Zhou*

Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah, 84112, USA

* Author to whom correspondence should be addressed.

Received: 2 July 2010; in revised form: 27 July 2010 / Accepted: 13 August 2010 / Published: 27 August 2010

(This article belongs to the Special Issue Intelligent Sensors)

Download PDF Full-Text [445 KB, uploaded 27 August 2010 11:47 CEST]

Abstract: 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.

Keywords: Kalman filter; sensor network; nuclear material smuggling; information theory

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