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 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.
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Keyword(in English) Sensor networks / correlated sources / joint decoding / turbo codes
Paper # MoMuC2009-2
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Committee MoMuC
Conference Date 2009/4/30(1days)
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Registration To Mobile Multimedia Communications(MoMuC)
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
Date of Issue