Smart and Resilient EV Charging in SDN-Enhanced Vehicular Edge Computing Networks

• Published in: IEEE journal on selected areas in communications Vol. 38; no. 1; pp. 217 - 228
• Main Authors: Liu, Jiajia, Guo, Hongzhi, Xiong, Jingyu, Kato, Nei, Zhang, Jie, Zhang, Yanning
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Batteries; charging scheduling; Computer simulation; deep reinforcement learning; Dynamic scheduling; Edge computing; electric vehicle; Electric vehicle charging; Electric vehicles; Electricity; Electricity pricing; Machine learning; Processor scheduling; Rechargeable batteries; Route planning; Route selection; Schedules; Scheduling; Smart grid; Software-defined networking; Variation; Vehicle dynamics; vehicular edge computing

Smart grid delivers power with two-way flows of electricity and information with the support of information and communication technologies. Electric vehicles (EVs) with rechargeable batteries can be powered by external sources of electricity from the grid, and thus charging scheduling that guides lo...