The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions
Open accessAbstract
A new networking paradigm, Vehicular Edge Computing (VEC), has been introduced in recent years to the vehicular network to augment its computing capacity. The ultimate challenge to fulfill the requirements of both communication and computation is increasingly prominent, with the advent of ever-growing modern vehicular applications. With the breakthrough of VEC, service providers directly host services in close proximity to smart vehicles for reducing latency and improving quality of service (QoS). This paper illustrates the VEC architecture, coupled with the concept of the smart vehicle, its services, communication, and applications. Moreover, we categorized all the technical issues in the VEC architecture and reviewed all the relevant and latest solutions. We also shed some light and pinpoint future research challenges. This article not only enables naive readers to get a better understanding of this latest research field but also gives new directions in the field of VEC to the other researchers.
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Cites
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Software-Defined Networking: A Comprehensive Survey
Kreutz, D., Ramos, F. M. V., Esteves Verissimo, P., Esteve Rothenberg, C., Azodolmolky, S., & Uhlig, S. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2371999 · Cited by 5,050
Fog and IoT: An Overview of Research Opportunities
Chiang, M., & Zhang, T. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2584538 · Cited by 2,362
A survey on context-aware systems
Baldauf, M., Dustdar, S., & Rosenberg, F. (2007) · International Journal of Ad Hoc and Ubiquitous Computing · doi:10.1504/ijahuc.2007.014070 · Cited by 1,983
Connected Vehicles: Solutions and Challenges
Lu, N., Cheng, N., Zhang, N., Shen, X., & Mark, J. W. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2327587 · Cited by 1,252
Fog Computing: Helping the Internet of Things Realize Its Potential
Dastjerdi, A. V., & Buyya, R. (2016) · Computer · doi:10.1109/mc.2016.245 · Cited by 1,047
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
Hou, X., Li, Y., Chen, M., Wu, D., Jin, D., & Chen, S. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2532863 · Cited by 930
Cloud Computing � Issues, Research and Implementations
Vouk, M. A. (2008) · Journal of Computing and Information Technology · doi:10.2498/cit.1001391 · Cited by 860
A Comprehensive Study of Security of Internet-of-Things
Mosenia, A., & Jha, N. K. (2017) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2016.2606384 · Cited by 806
A survey on vehicular cloud computing
Whaiduzzaman, M., Sookhak, M., Gani, A., & Buyya, R. (2014) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2013.08.004 · Cited by 750
Research works printed but not linked: 19
- 10.1109/JSAC.2011.110107 · doi:10.1109/jsac.2011.110107
- 2014, IEEE Spectrum, 31
- 2017, International Journal of Computer Science and Engineering, 9
- 2015, International Journal of Emerging Technology and Advanced Engineering, 5, 266
- 2013, InTech
- 10.1108/02602280910926715 · doi:10.1108/02602280910926715
- 2018, Wireless Communications and Mobile Computing, 2018
- 2012, Procedia Computer Science, 10, 785, 10.1016/j.procs.2012.06.100 · doi:10.1016/j.procs.2012.06.100
- 10.1007/s13177-014-0108-x · doi:10.1007/s13177-014-0108-x
- 2014, National Research Council Canada, 10
- 10.5120/17123-7717 · doi:10.5120/17123-7717
- 2011, International Journal of Emerging Sciences, 1, 634
- 2018, Computer Science, Information Theory
- 10.1109/TMM.2016.2544698 · doi:10.1109/tmm.2016.2544698
- 10.11003/JPNT.2016.5.3.119 · doi:10.11003/jpnt.2016.5.3.119
- 10.5120/13505-1254 · doi:10.5120/13505-1254
- 10.1155/2017/7479267 · doi:10.1155/2017/7479267
- 10.1016/j.jksuci.2014.03.006 · doi:10.1016/j.jksuci.2014.03.006
- 2017, Journal of Parallel and Distributed Computing
Cited by
Arthurs, P., Gillam, L., Krause, P., Wang, N., Halder, K., & Mouzakitis, A. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3084396 · Cited by 339
Jiang, X., Yu, F. R., Song, T., & Leung, V. C. M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3065209 · Cited by 88
Annu, & Rajalakshmi, P. (2024) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2024.3368240 · Cited by 73
The Role of Blockchain, AI and IoT for Smart Road Traffic Management System
Sharma, A., Awasthi, Y., & Kumar, S. (2020) · 2020 IEEE India Council International Subsections Conference (INDISCON) · doi:10.1109/indiscon50162.2020.00065 · Cited by 69
Toward Secure and Trustworthy Vehicular Fog Computing: A Survey
Nazih, O., Benamar, N., Lamaazi, H., & Chaoui, H. (2024) · IEEE Access · doi:10.1109/access.2024.3371488 · Cited by 35
Metadata
- Authors
- Raza, S., Wang, S., Ahmed, M., & Anwar, M. R.
- Venue
- Wireless Communications and Mobile Computing
- Publisher
- Wiley
- Published
- 2019-02-24
- Volume
- 2019
- Pages
- 1-19
- ISSN
- 1530-8669 (ISSN-L)
- 1530-8677
- OpenAlex
- W2917748490
- Cited by
- 265
- References
- 50
- FWCI
- 20.24
- Type
- journal article
- Language
- en
- Update notices
- corrigendum (2019-07-24)
- Open access
- hybrid
- Funders
- National Natural Science Foundation of China (61602054, 61571066)
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- Raza, S., Wang, S., Ahmed, M., & Anwar, M. R. (2019). A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2019/3159762
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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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