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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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
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
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)