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A computational fluid dynamics approach for optimization of a sensor network
Conference presentation   Open access

A computational fluid dynamics approach for optimization of a sensor network

David Hamel, Matt Chwastek, B. (Bakhtier) Farouk, Moshe Kam and Kapil R. Dandekar
2006 IEEE International Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety, pp 38-42
Oct 2006
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Abstract

Homeland Security Sensor Networks Sensor Placement Urban Chemical sensors Chemical and biological sensors Sensor systems Homeland Security USA Councils Urban Dispersion Niobium compounds Biosensors Chemical Technology Computational Fluid Dynamics Optimization Terrorism
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 the generic urban environment 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 surrogate 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 "consumption" of the network and the sensor placement algorithm minimized consumption to the network while 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).

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Computer Science, Artificial Intelligence
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Instruments & Instrumentation
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