Resource Allocation of Video Streaming Over Vehicular Networks: A Survey, Some Research Issues and Challenges
Abstract
In intelligent transportation systems (ITS), the vehicular ad-hoc network (VANET) is an enabling technology that can provide information exchange services among connected and autonomous vehicles (CAVs). Video streaming over VANETs is a potential application to ensure the safety of drivers and passengers and improve infotainment services. However, owing to the dynamic network topology, video transmission in VANETs is very challenging in terms of latency, reliability, and security. Therefore, a comprehensive summary of the state-of-art video streaming over VANETs is surveyed in this work. Firstly, related works and background knowledge are introduced. Then, a systematic survey on resource allocation (RA) scheme for video streaming in VANETs is provided, and some prevailing and feasible optimization tools are elaborated. Furthermore, enabling technologies of video streaming over VANETs are summarized with a special focus on the integration of video communication, caching, and computing. Finally, we give some challenges and future research directions.
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Decentralized vehicular networks are more prone to security and privacy issues due to open-access communication among vehicles and infrastructure.
“Nonetheless, vehicular networks that are decentralized are more prone to security and privacy issues due to open-access communication among vehicles and infrastructure [166].”
From Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey (2025) · cites this paper as [166]
Cites
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
Tang, F., Kawamoto, Y., Kato, N., & Liu, J. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2954595 · Cited by 620 · see citing works
Machine learning for vehicular networks: Recent advances and application examples
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Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities
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Beam Alignment in mmWave V2X Communications: A Survey
Tan, J., Luan, T. H., Guan, W., Wang, Y., Peng, H., Zhang, Y., Zhao, D., & Lu, N. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3383093 · Cited by 75 · see citing works
Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey
Bin Ali Wael, C., Hadj Dogheche, E., Armi, N., Subekti, A., & Dayoub, I. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3584024 · Cited by 10 · see citing works
“Nonetheless, vehicular networks that are decentralized are more prone to security and privacy issues due to open-access communication among vehicles and infrastructure [166].”
- Authors
- Jiang, X., Yu, F. R., Song, T., & Leung, V. C. M.
- Affiliations
- Shanghai Maritime University (CN)
- Carleton University (CA)
- Tokushima University (JP)
- University of British Columbia (CA)
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2022-07
- Volume
- 23
- Issue
- 7
- Pages
- 5955-5975
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W3143477889
- Cited by
- 88
- References
- 4
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 21 · 2023: 25 · 2022: 16 · 2021: 4
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Intelligent Transportation Systems (publishedVersion)
- Funders
- National Natural Science Foundation of China (61701297, 61872231, U1706224)
- China Postdoctoral Science Foundation (2018M641981)
- Guangdong Pearl River Talent Recruitment Program (2019ZT08X603)
- Natural Sciences and Engineering Research Council of Canada
- Mitacs
- JSPS KAKENHI Grant-in-Aid for Scientific Researc (20K11790, 20K11889)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- video streaming, vehicular ad hoc networks, resource allocation, connected and autonomous vehicles, intelligent transportation systems, infotainment services, dynamic topology, video caching, edge computing, video communication
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