Mobile Edge Computing-Enabled Internet of Vehicles: Toward Energy-Efficient Scheduling

• Published in: IEEE network Vol. 33; no. 5; pp. 198 - 205
• Main Authors: Ning, Zhaolong, Huang, Jun, Wang, Xiaojie, Rodrigues, Joel J. P. C., Guo, Lei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Delays; Edge computing; Electric vehicles; Energy conservation; Energy consumption; Energy efficiency; Energy management; Energy storage; Heuristic methods; Heuristic task scheduling; Internet of Vehicles; Mobile computing; Processor scheduling; Scheduling; Servers; Task analysis; Transportation systems

Although modern transportation systems facilitate the daily life of citizens, the ever-increasing energy consumption and air pollution challenge the establishment of green cities. Current studies on green IoV generally concentrate on energy management of either battery-enabled RSUs or electric vehic...