Presentation | 2012-03-09 Optimization of Channel Efficiency Based on Moving Speed Prediction for Underwater Acoustic Communication Hokuto UEDA, Yoshihiro KAWAHARA, Tohru ASAMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | There is an increasing demand of the realization of an Underwater Sensor Network that collects environmental monitoring data in the ocean. Acoustic communication is mainly used as a medium for Underwater Sensor Network. However, large propagation delay of sound incurs the increase of the waiting time in Automatic Repeat reQuest (ARQ) and results in the low channel utilization rate. In this paper, we propose a data link protocol that maximizes the channel efficiency of one sender and one receiver in USN. In the proposed method, the sender minimizes the unnecessary waiting time between data frames by predicting the next ACK reception time from the node velocity estimated by frame reception intervals. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Underwater Acoustic Communication / Automatic Repeat Request |
Paper # | IN2011-179 |
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Committee | IN |
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Conference Date | 2012/3/1(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Optimization of Channel Efficiency Based on Moving Speed Prediction for Underwater Acoustic Communication |
Sub Title (in English) | |
Keyword(1) | Underwater Acoustic Communication |
Keyword(2) | Automatic Repeat Request |
1st Author's Name | Hokuto UEDA |
1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
2nd Author's Name | Yoshihiro KAWAHARA |
2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo:School of Electrical and Computer Engineering, Georgia Institute of Technology |
3rd Author's Name | Tohru ASAMI |
3rd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
Date | 2012-03-09 |
Paper # | IN2011-179 |
Volume (vol) | vol.111 |
Number (no) | 469 |
Page | pp.pp.- |
#Pages | 6 |
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