Paper
3 December 2015 Offshore pollution source localization in water using wireless sensor networks
X. Luo, J. Yang
Author Affiliations +
Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97940G (2015) https://doi.org/10.1117/12.2200953
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
X. Luo and J. Yang "Offshore pollution source localization in water using wireless sensor networks", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97940G (3 December 2015); https://doi.org/10.1117/12.2200953
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Cited by 3 scholarly publications.
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KEYWORDS
Diffusion

Pollution

Source localization

Sensor networks

Error analysis

Filtering (signal processing)

Computer simulations

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