Locating sensors for detecting source-to-target patterns of special nuclear material smuggling: A spatial information theoretic approach

Jay Przybyla, Jeffrey Taylor, Xuesong Zhou

Research output: Contribution to journalArticle

5 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)8070-8091
Number of pages22
JournalSensors
Volume10
Issue number9
DOIs
StatePublished - Sep 2010

Keywords

  • Information theory
  • Kalman filter
  • Nuclear material smuggling
  • Sensor network

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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