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Cited by 655

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities

Zhou, Haibo, Xu, Wenchao, Chen, Jiacheng, Wang, Wei·2020·Proceedings of the IEEE
DOI 10.1109/jproc.2019.2961937
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Abstract

To enable large-scale and ubiquitous automotive network access, traditional vehicle-to-everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing demands on emerging advanced vehicular applications, such as intelligent transportation systems (ITS) and autonomous vehicles. In recent years, IoV technologies have been developed and achieved significant progress. However, it is still unclear what is the evolution path and what are the challenges and opportunities brought by IoV. For the aforementioned considerations, this article provides a thorough survey on the historical process and status quo of V2X technologies, as well as demonstration of emerging technology developing directions toward IoV. We first review the early stage when the dedicated short-range communications (DSRC) was issued as an important initial beginning and compared the cellular V2X with IEEE 802.11 V2X communications in terms of both the pros and cons. In addition, considering the advent of big data and cloud-edge regime, we highlight the key technical challenges and pinpoint the opportunities toward the big data-driven IoV and cloud-based IoV, respectively. We believe our comprehensive survey on evolutionary V2X technologies toward IoV can provide beneficial insights and inspirations for both academia and the IoV industry.

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Citations

Cites

Show all 70 references

Research works printed but not linked: 27

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Metadata

Authors
Zhou, H., Xu, W., Chen, J., & Wang, W.
Venue
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2020-02
Volume
108
Issue
2
Pages
308-323
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
DOI
10.1109/jproc.2019.2961937
OpenAlex
W3001774639
Cited by
655
References
70
FWCI
34.09
Type
journal article
Language
en
Open access
closed
Licence
Funders
  • National Natural Science Foundation of China (61871211)
  • Natural Science Foundation of Jiangsu Province (BK20180329)
  • Innovation and Entrepreneurship of Jiangsu Province High-level Talent Program
  • Summit of the Six Top Talents Program of Jiangsu Province

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CoChat. (2026). Citation check: Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities. https://app.cochat.ai/papers/10.1109/jproc.2019.2961937
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Zhou, H., Xu, W., Chen, J., & Wang, W. (2020). Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2019.2961937

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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