MEGEE: Mobile Edge computer Geared v2x for E-mobility Ecosystem

Yue Cao, Celimuge Wu, Xu Zhang, William Liu, Linyu Peng, Muhammad Khalid

研究成果: Conference contribution

抄録

The introduction of Electric Vehicles (EVs) leads to new concern on the E-Mobility. Making charging reservation, by considering the EV's arrival time and its expected charging time at Charging Stations (CSs) has been studied to predict the dynamic status of CSs. In this paper, we propose a Mobile Edge computer Geared v2x for E-mobility Ecosystem (MEGEE), as a decentralized alternative to the conventional centralized cloud based architecture. MEGEE enables the Vehicular Delay/Disruption Tolerant Networking (VDTN)-driven anycasting for information delivery, and Mobile Edge Computing (MEC) functioned CSs for information mining and aggregation. MEGEE efficiently and timely processes essential charging reservations and charging control information, through the Internet of EVs and MEC servers. Our studies show that MEGEE can achieve the close charging performance as performed by the centralized system, while offers a significant saving in communications cost.

本文言語English
ホスト出版物のタイトル2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538676462
DOI
出版ステータスPublished - 2019 4
外部発表はい
イベント2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 - Marrakesh, Morocco
継続期間: 2019 4 152019 4 19

出版物シリーズ

名前IEEE Wireless Communications and Networking Conference, WCNC
2019-April
ISSN(印刷版)1525-3511

Conference

Conference2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
国/地域Morocco
CityMarrakesh
Period19/4/1519/4/19

ASJC Scopus subject areas

  • 工学(全般)

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