| Presentation | 2009-01-22 Sensor nodes localization using measurements of relative distances including outliers Yuko TOSHIMITSU, Hidekata HONTANI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this article, we propose a method for localizing sensor nodes, which include both static and mobile ones. For the localization, we employ the non-parametric belief propagation. Experimental results show that this method can continuously improve the accuracy of the estimated locations every time a new mobile node walks through the static ones. In addition, we report on the robustness of the method against to outliers of measurements. The results show that a method based on an external particle improves the robustness. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | sensor network / sensor localization / non-parametric belief propagation / outlier |
| Paper # | USN2008-63 |
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| Committee | USN |
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| Conference Date | 2009/1/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Ubiquitous and Sensor Networks(USN) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Sensor nodes localization using measurements of relative distances including outliers |
| Sub Title (in English) | |
| Keyword(1) | sensor network |
| Keyword(2) | sensor localization |
| Keyword(3) | non-parametric belief propagation |
| Keyword(4) | outlier |
| 1st Author's Name | Yuko TOSHIMITSU |
| 1st Author's Affiliation | Nagoya Institute of Technology() |
| 2nd Author's Name | Hidekata HONTANI |
| 2nd Author's Affiliation | Nagoya Institute of Technology |
| Date | 2009-01-22 |
| Paper # | USN2008-63 |
| Volume (vol) | vol.108 |
| Number (no) | 399 |
| Page | pp.pp.- |
| #Pages | 6 |
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