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Proceedings Paper

Offshore pollution source localization in water using wireless sensor networks
Author(s): X. Luo; J. Yang
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Paper Abstract

Locating the source of water pollution is of great significance to water environment protection. According to the concentration model, the localization problem only related to source location in wireless sensor networks is proposed. The Unscented Kalman Filter (UKF) method is used to solve the problem. In the simulation part, based on the simulation data the localization algorithm is tested. The results show that the estimates of the source location vary with the initial values in numerical calculation, and compared with the UKF and least square localization methods which estimate the parameters including pollution source location, initial diffusion time and mass flow rate, the localization method in this paper has higher accuracy and stability.

Paper Details

Date Published: 3 December 2015
PDF: 7 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97940G (3 December 2015); doi: 10.1117/12.2200953
Show Author Affiliations
X. Luo, Zunyi Medical Univ. (China)
J. Yang, Wuhan Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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