Presentation | 2009-05-07 Joint decoding scheme using bit-level correlation of experimentally observed data Kentaro KOBAYASHI, Takaya YAMAZATO, Masaaki KATAYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In wireless sensor networks, a large number of sensor nodes are densely deployed for a reliable sensing of physical phenomenon. Due to the high density in the sensing field, sensor observations are spatially correlated. In this paper, we focus on joint channel decoding schemes utilizing the correlation of sensor observations. Our proposed scheme makes use of a bit-level correlation property of data observed in the real environment. The performance of our approach is examined by simulations using sensing data from experiments in a real indoor environment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Sensor networks / correlated sources / joint decoding / turbo codes |
Paper # | MoMuC2009-2 |
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Committee | MoMuC |
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Conference Date | 2009/4/30(1days) |
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Registration To | Mobile Multimedia Communications(MoMuC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Joint decoding scheme using bit-level correlation of experimentally observed data |
Sub Title (in English) | |
Keyword(1) | Sensor networks |
Keyword(2) | correlated sources |
Keyword(3) | joint decoding |
Keyword(4) | turbo codes |
1st Author's Name | Kentaro KOBAYASHI |
1st Author's Affiliation | JSPS:Department of Electrical Engineering and Computer Science, Nagoya University() |
2nd Author's Name | Takaya YAMAZATO |
2nd Author's Affiliation | EcoTopia Science Institute, Nagoya University |
3rd Author's Name | Masaaki KATAYAMA |
3rd Author's Affiliation | EcoTopia Science Institute, Nagoya University |
Date | 2009-05-07 |
Paper # | MoMuC2009-2 |
Volume (vol) | vol.109 |
Number (no) | 22 |
Page | pp.pp.- |
#Pages | 6 |
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