Presentation | 2018-01-19 Priority Control in Communication Networks for Predictive Information Delivery by Using Machine Learning Shingo Kato, Ryoichi Shinkuma, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Delivering real-time road-traffic information to the driver is a straightforward solution to the problem of road traffic congestion. The information is more effective as it is fresh and more accurate. However, real-time road-traffic information delivery a fundamental problem: an accuracy-freshness tradeoff. The proposed system solves this trade-off. The key idea is that data more ‘important’ for the accuracy of information is prioritized when the data is transferred in communication networks. In the proposed system, `Importance' is determined by how helpful the data is when the system needs to estimate missing spatial information from a limited amount of received data by using the machine learning technique. In the paper, simulation results verify the proposed system ensures the accuracy of road-traffic information while satisfying the freshness requirement. {it Note: the content of this report is contained in the paper which the authors published in IEEE Access in Oct 2017. This report has been published without any reviewing process.} |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Internet of Things / road-traffic information / priority control / active learning / edge computing |
Paper # | MoNA2017-54 |
Date of Issue | 2018-01-11 (MoNA) |
Conference Information | |
Committee | MoNA |
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Conference Date | 2018/1/18(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Campus Plaza Kyoto |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Mobile Network, Application of Machine Learning, Mobile Data, etc. |
Chair | Ryoichi Shinkuma(Kyoto Univ.) |
Vice Chair | Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.) |
Secretary | Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NTT) |
Assistant | Takayuki Nishio(Kyoto Univ.) / Takato Saito(NTT) |
Paper Information | |
Registration To | Technical Committee on Mobile Network and Applications |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Priority Control in Communication Networks for Predictive Information Delivery by Using Machine Learning |
Sub Title (in English) | |
Keyword(1) | Internet of Things |
Keyword(2) | road-traffic information |
Keyword(3) | priority control |
Keyword(4) | active learning |
Keyword(5) | edge computing |
1st Author's Name | Shingo Kato |
1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
2nd Author's Name | Ryoichi Shinkuma |
2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
Date | 2018-01-19 |
Paper # | MoNA2017-54 |
Volume (vol) | vol.117 |
Number (no) | MoNA-390 |
Page | pp.pp.73-78(MoNA), |
#Pages | 6 |
Date of Issue | 2018-01-11 (MoNA) |