Journal
IEEE ACCESS
Volume 7, Issue -, Pages 179185-179198Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2958175
Keywords
Green Internet of Vehicles; 5G; mobile edge computing; deep reinforcement learning
Categories
Funding
- National Natural Science Foundation of China [61976156, 61602462, 11803022]
- Scientific Research Plan of Tianjin Education Committee [2017KJ034]
- Shenzhen Science and Technology Innovation Commission Basic Research Project [JCYJ20170818111012390]
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With the development of Internet of Vehicles (IoV) and the gradual maturity of 5th Generation Mobile Networks (5G) technology, the further development of the IoV highly relies on network energy and resources. However, basic methods of researching new energy or improving equipment result in high cost. This article focuses on researching how to minimize energy consumption and maximize resource utilization with the constraints of existing environment and equipment. We jointly discuss 5G technology, mobile edge computing and deep reinforcement learning in green IoV. We also discuss how to make rational use of resources to realize the sustainable development of IoV. By classifying and comparing the existing researches according to different emphases, the energy consumption can be managed effectively with the above-mentioned technologies. Finally, we analyze the possible research directions and challenges in the future.
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