Title :
Diffusion source localization with a water-proof boundary
Author :
Fan, Luan ; Li, Chai ; Jun, Yang
Author_Institution :
Eng. Res. Center of Metall. Autom. & Meas. Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
The source localization problem is studied for a pollution source close to a water-proof boundary. An approximation method using the elementary analytic function is applied to the density attenuation model, which provides easy and fast localization algorithm. Two different algorithms are proposed for the pollution source localization based on the information sent by wireless sensor networks. While one algorithm, which is based on time and concentration, can localize the source with small delay, the other, which is based only on concentration of the steady state, can provide better localization accuracy and robustness. Simulation results are given to demonstrate the effectiveness of the proposed algorithms.
Keywords :
approximation theory; pollution; wireless sensor networks; approximation method; density attenuation model; diffusion source localization; elementary analytic function; pollution source localization; water-proof boundary; wireless sensor network; Approximation algorithms; Automation; Educational institutions; Intelligent control; Pollution; Pollution measurement; Wireless sensor networks; localization; pollution sources; water-proof boundary; wireless sensor networks;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6357860