Paper
20 May 2005 Radiation detection with distributed sensor networks
Angela M. Mielke, Mark C. Smith, Sean M. Brennan, David C. Torney, Diana Jackson, Josh F. Karlin, Arthur B. Maccabe
Author Affiliations +
Abstract
Given the heightened awareness and response to threats posed to national security, it is important to evaluate, and if possible, improve current measures being taken to ensure our nation’s safety. With terrorism so prevalent in our thoughts, the possible risk of nuclear attacks remains a major concern. Portal monitors are one type of technology that may be used to combat this risk. Their purpose is to detect nuclear materials and, if found, alert first responders to such a discovery. Los Alamos National Laboratory (LANL) is currently working on an alternative to these costly portal monitors through the Distributed Sensor Network (DSN) project. In collaboration with the University of New Mexico (UNM), this project aims to develop distributed networks of heterogeneous sensors with the ability to process data in-situ in order to produce real-time decisions regarding the presence of radioactive material within the network. The focus of the work described in this paper has been the evaluation of current commercial products available for application deployments, as well as the development of a sensor network in simulation to reduce key deployment issues.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Angela M. Mielke, Mark C. Smith, Sean M. Brennan, David C. Torney, Diana Jackson, Josh F. Karlin, and Arthur B. Maccabe "Radiation detection with distributed sensor networks", Proc. SPIE 5778, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV, (20 May 2005); https://doi.org/10.1117/12.603498
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Sensors

Sensor networks

Data processing

Decision support systems

Acoustics

Magnetic sensors

Network architectures

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