System design for predictive road-traffic information delivery using edge-cloud computing

Ryoichi Shinkuma, Shingo Kato, Masahiro Kanbayashi, Yasuhiro Ikeda, Ryoichi Kawahara, Takanori Hayashi

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

This paper presents a novel system architecture for predictive road-traffic information delivery in which computing resources at the network edge and the central cloud are cooperatively used to analyze sensing data collected by vehicles on the road. In this paper, we also present the mathematical problem formulation of the proposed system architecture for ensuring that the system could successfully deliver road-traffic information at realtime without overflowed computational and network loads. The numerical examination using a real dataset and a realistic network emulator validates our system.1

本文言語English
ホスト出版物のタイトルCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781538647905
DOI
出版ステータスPublished - 2018 3月 16
外部発表はい
イベント15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 - Las Vegas, United States
継続期間: 2018 1月 122018 1月 15

出版物シリーズ

名前CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
2018-January

Conference

Conference15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018
国/地域United States
CityLas Vegas
Period18/1/1218/1/15

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 信号処理
  • メディア記述

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