Mobile Edge Computing for Big-Data-Enabled Electric Vehicle Charging

IEEE Communications Magazine

Volumn 56, Issue 3, 2018, Pages 150-156

  Cao, Yue ^a   Song, Houbing ^b   Kaiwartya, Omprakash ^a   Zhou, Bingpeng ^c   Zhuang, Yuan ^d   Cao, Yang ^e   Zhang, Xu ^f  

^a NORTHUMBRIA UNIVERSITY   (United Kingdom)

^b Advanced Dynamics and Control Laboratory   (United States)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^d Bluvision Inc   (United States)

^e HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^f XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHARGING (BATTERIES); DATA MINING; EDGE COMPUTING; TRAFFIC CONGESTION;

BIG DATA ANALYTICS; COMMUNICATION EFFICIENCY; ELECTRIC VEHICLE CHARGING; ENVIRONMENT FRIENDLY; MOBILE EDGE COMPUTING; PLANNING STRATEGIES; SERVICE PROVIDER; SMART TRANSPORTATIONS;

BIG DATA;

EID: 85044076043     PISSN: 01636804     EISSN: 15581896     Source Type: Journal    
DOI: 10.1109/MCOM.2018.1700210     Document Type: Article

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