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 language | English (US) |
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Pages (from-to) | 8070-8091 |
Number of pages | 22 |
Journal | Sensors |
Volume | 10 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2010 |
Externally published | Yes |
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