期刊
IEEE NETWORK
卷 32, 期 5, 页码 112-117出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.2018.1700364
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类别
资金
- National Natural Science Foundation of China (NSFC) [61702439, 61502410, 61602399, 61672318, 61631013]
- Shandong Provincial Natural Science Foundation, China [ZR2017BF018, ZR2016FM42]
- National Key Research and Development Program [2016YFB1000102, 2016YFE0122900]
- Shandong Province Higher Educational Science and Technology Program [J16LN17]
- QUALCOMM university-sponsored program
Edge computing has great potential to address the challenges in mobile vehicular networks by transferring partial storage and computing functions to network edges. However, it is still a challenge to efficiently utilize heterogeneous edge computing architectures and deploy large-scale IoV systems. In this article, we focus on the collaborations among different edge computing anchors and propose a novel collaborative vehicular edge computing framework, called CVEC. Specifically, CVEC can support more scalable vehicular services and applications by both horizontal and vertical collaborations. Furthermore, we discuss the architecture, principle, mechanisms, special cases, and potential technical enablers to support the CVEC. Finally, we present some research challenges as well as future research directions.
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