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Detection and Tracking of an Odor Source in Sensor Networks Using a Reasoning System

Xiang Gao, Levent Acar, and Jaganathan Sarangapani
Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, USA
Abstract—This paper addresses the challenge of mapping the paths of particles originating from a chemical source using interpolation and extrapolation methods. Odor localization is the problem of identifying the source of an odor or another volatile chemical in an uncontrolled environment. Most localization methods require following an odor plume along its path by a mobile detector, that is time consuming and difficult in a cluttered environment. In this paper, physically separated multiple sensors and the dynamical behavior of fluids are used to predict the airflow pattern. A model of a particle path using an interpolation and extrapolation method, a framework of the reasoning systems, and results of odor source location process are presented. The method also demonstrates that an interpolation and extrapolation approach can be used to assist the odor localization search and shows that it is successful in reasoning about the surroundings in unstructured environments.

Index Term—odor source localization, odor distribution map, sensor networks

Cite: Xiang Gao, Levent Acar, and Jaganathan Sarangapani, "Detection and Tracking of an Odor Source in Sensor Networks Using a Reasoning System" Jounal of Automation and Control Engineering, Vol. 4, No. 6, pp. 418-423, December, 2016. doi: 10.18178/joace.4.6.418-423
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