NDLI: A Computational Fluid Dynamics Approach for Optimization of a Sensor Network

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Proceedings of the 2005 IEEE International Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety Workshop, 2005. (IMS 2005)

A Computational Fluid Dynamics Approach for Optimization of a Sensor Network

Content Provider	IEEE Xplore Digital Library
Author	Hamel, D. Chwastek, M. Farouk, B. Dandekar, K. Kam, M.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA (Hamel, D.; Chwastek, M.)
Abstract	We optimize the placement of sensors for detecting a nuclear, biological, or chemical (NBC) attack in a dense urban environment. This approach draws from two main areas: (1) computational fluid dynamic (CFD) simulations and (2) sensor placement algorithms. The main objective was to minimize detection time of a NBC sensor network for attacks on a generic urban environment. To this end we conducted simulations in such environments using thirty-three (33) unique attack locations, thirty-three (33) candidate sensor locations, prevailing wind conditions, and the properties of the chemical agent, chlorine gas. A total of ninety-nine (99) simulated attack scenarios were created (three sets of thirty-three unique attack simulations) and used for optimization. Simulated chemical agent concentration data were collected at each candidate sensor location as a function of time. The integration of this concentration data with respect to time was used to calculate the contaminant "consumption" of the network and the sensor placement algorithm, along with contaminant-level detection, minimized consumption to the network while also minimizing the number of sensors placed. Our results show how a small number of properly placed sensors (eight (8), in our case) provides the best achievable coverage (additional sensors do not help)
Starting Page	38
Ending Page	42
File Size	360380
Page Count	5
File Format	PDF
ISBN	1424402409
DOI	10.1109/MSHS.2006.314347
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chemical sensors Computational fluid dynamics Computational modeling Terrorism Sensor Networks Computational Fluid Dynamics Chemical and biological sensors Sensor systems Chemical technology Homeland Security Optimization USA Councils Urban Dispersion Niobium compounds Biosensors Sensor Placement
Content Type	Text
Resource Type	Article

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