The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey
Open accessAbstract
Internet of Vehicles (IoV) is an emerging concept that is believed to help realize the vision of intelligent transportation systems (ITSs). IoV has become an important research area of impactful applications in recent years due to the rapid advancements in vehicular technologies, high throughput satellite communication, the Internet of Things, and cyber-physical systems. IoV enables the integration of smart vehicles with the Internet and system components attributing to their environments, such as public infrastructures, sensors, computing nodes, pedestrians, and other vehicles. By allowing the development of a common information exchange platform between vehicles and heterogeneous vehicular networks, this integration aims to create a better environment and public space for the people as well as to enhance safety for all road users. Being a participatory data exchange and storage, the underlying information exchange platform of IoV needs to be secure, transparent, and immutable in order to achieve the intended objectives of ITS. In this connection, the adoption of blockchain as a system platform for supporting the information exchange needs of IoV has been explored. Due to their decentralized and immutable nature, IoV applications enabled by blockchain are believed to have a number of desirable properties, such as decentralization, security, transparency, immutability, and automation. In this article, we present a contemporary survey on the latest advancement in blockchain for IoV. Particularly, we highlight the different application scenarios of IoV after carefully reviewing the recent literature. We also investigate several key challenges where blockchain is applied in IoV. Furthermore, we present the future opportunities and explore further research directions of IoV as a key enabler of ITS.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Digital Signature Based on a Conventional Encryption Function
Merkle, R. C. (1988) · Lecture Notes in Computer Science · doi:10.1007/3-540-48184-2_32 · Cited by 1,998
Bitcoin and beyond: a technical survey on decentralized digital currencies
Tschorsch, F., & Scheuermann, B. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2535718 · Cited by 1,690
Blockchain for internet of things: a survey
Dai, H.-N., Zheng, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2920987 · Cited by 1,246
Khan, W. Z., Ahmed, E., Hakak, S., Yaqoob, I., & Ahmed, A. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.02.050 · Cited by 1,157
A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT
Sengupta, J., Ruj, S., & Das Bit, S. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.102481 · Cited by 844
BlockChain: A Distributed Solution to Automotive Security and Privacy
Dorri, A., Steger, M., Kanhere, S. S., & Jurdak, R. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700879 · Cited by 807
Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks
Kang, J., Yu, R., Huang, X., Wu, M., Maharjan, S., Xie, S., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2875542 · Cited by 798
A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges
Xie, J., Tang, H., Huang, T., Yu, F. R., Xie, R., Liu, J., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2899617 · Cited by 764
Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges
Yang, R., Yu, F. R., Si, P., Yang, Z., & Zhang, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2894727 · Cited by 688
Blockchain in healthcare and health sciences—A scoping review
Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S. A., & Faxvaag, A. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.104040 · Cited by 676 · cited 1×
“A substantial effort has been highlighted to converge blockchain with smart health system in [39]–[44].”
Background
Cited by
On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds
Wang, C.-X., You, X., Gao, X., Zhu, X., Li, Z., Zhang, C., Wang, H., Huang, Y., Chen, Y., Haas, H., et al. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3249835 · Cited by 2,336
A comprehensive survey on blockchain technology
Rajasekaran, A. S., Azees, M., & Al-Turjman, F. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102039 · Cited by 225
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3119639 · Cited by 217
Self-citationKumar, R., Kumar, P., Tripathi, R., Gupta, G. P., Kumar, N., & Hassan, M. M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3098636 · Cited by 148
Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
Alsamhi, S. H., Almalki, F. A., Afghah, F., Hawbani, A., Shvetsov, A. V., Lee, B., & Song, H. (2022) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2021.3132561 · Cited by 139
Metadata
- Authors
- Mollah, M. B., Zhao, J., Niyato, D., Guan, Y. L., Yuen, C., Sun, S., Lam, K.-Y., & Koh, L. H.
- Venue
- IEEE Internet of Things Journal
- Published
- 2021-03-15
- Volume
- 8
- Issue
- 6
- Pages
- 4157-4185
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W3041497362
- Cited by
- 425
- References
- 105
- FWCI
- 19.07
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey. https://app.cochat.ai/papers/10.1109/jiot.2020.3028368
- The paper
- Mollah, M. B., Zhao, J., Niyato, D., Guan, Y. L., Yuen, C., Sun, S., Lam, K.-Y., & Koh, L. H. (2021). Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2020.3028368
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.