Presentation 2014-12-19
Performance Comparison of Compressed Transmission Method and Information Sharing Method Using Compressed Sensing
Shuhei SUZAKI, Hiraku OKADA, Kentaro KOBAYASHI, Masaaki KATAYAMA,
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Abstract(in English) In wireless distributed networks, each node establishes its route autonomously. The optimum route should be selected according to the change of radio propagation environment. Link-state routing is a technique that gathers link information and selects the optimum route based on that information. Flooding is an information sharing method, but it causes a broadcast storm problem. To reduce the amount of transmitted information and its traffic, we proposed an information sharing method using compressed sensing for link quality in wireless distributed networks. In this study, we apply a compressed transmission method, which samples components of non-zero without compressed sensing, and compare it with the conventional method using compressed sensing.
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Keyword(in English) wireless distributed network / link quality / information sharing / compressed sensing / diffusion wavelets / compressed transmission
Paper # RCS2014-248
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Committee RCS
Conference Date 2014/12/11(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Comparison of Compressed Transmission Method and Information Sharing Method Using Compressed Sensing
Sub Title (in English)
Keyword(1) wireless distributed network
Keyword(2) link quality
Keyword(3) information sharing
Keyword(4) compressed sensing
Keyword(5) diffusion wavelets
Keyword(6) compressed transmission
1st Author's Name Shuhei SUZAKI
1st Author's Affiliation Department of Electrical Engineering and Computer Science, Nagoya University()
2nd Author's Name Hiraku OKADA
2nd Author's Affiliation EcoTopia Science Institute, Nagoya University
3rd Author's Name Kentaro KOBAYASHI
3rd Author's Affiliation EcoTopia Science Institute, Nagoya University
4th Author's Name Masaaki KATAYAMA
4th Author's Affiliation EcoTopia Science Institute, Nagoya University
Date 2014-12-19
Paper # RCS2014-248
Volume (vol) vol.114
Number (no) 372
Page pp.pp.-
#Pages 5
Date of Issue