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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Luan Fan Chai Li Yang Jun |
| Copyright Year | 2012 |
| Description | Author affiliation: Engineering Research Center of Metallurgical Automation and Measurement Technology, Ministry of Education, Wuhan University of Science and Technology, Hubei Province, China (Luan Fan; Chai Li; Yang Jun) |
| 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. |
| Starting Page | 164 |
| Ending Page | 169 |
| File Size | 277928 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467313971 |
| e-ISBN | 9781467313988 |
| DOI | 10.1109/WCICA.2012.6357860 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pollution Approximation algorithms Automation Wireless sensor networks Intelligent control Pollution measurement Educational institutions pollution sources localization wireless sensor networks water-proof boundary |
| Content Type | Text |
| Resource Type | Article |
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