The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Survey on the Internet of Vehicles: Network Architectures and Applications
Abstract
The vehicular ad hoc network (VANET) has been widely used as an application of mobile ad hoc networking in the automotive industry. However, in the 5G/B5G era, the Internet of Things as a cutting-edge technology is gradually transforming the current Internet into a fully integrated future Internet. At the same time, it will promote the existing research fields to develop in new directions, such as smart home, smart community, smart health, and intelligent transportation. The VANET needs to accelerate the pace of technological transformation when it has to meet the application requirements of intelligent transportation systems, vehicle automatic control, and intelligent road information service. Based on this context, the Internet of Vehicles (IoV) has come into being, which aims to realize the information exchange between the vehicle and all entities that may be related to it. IoV's goals are to reduce accidents, ease traffic congestion, and provide other information services. At present, IoV has attracted much attention from academia and industry. In order to provide assistance to relevant research, this article designs a new network architecture for the future network with greater data throughput, lower latency, higher security, and massive connectivity. Furthermore, this article explores a comprehensive literature review of the basic information of IoV, including basic VANET technology, several network architectures, and typical application of IoV.
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
Internet of Vehicles: Architecture, Protocols, and Security
Contreras-Castillo, J., Zeadally, S., & Guerrero-Ibanez, J. A. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2690902 · Cited by 744
Kaiwartya, O., Abdullah, A. H., Cao, Y., Altameem, A., Prasad, M., Lin, C.-T., & Liu, X. (2016) · IEEE Access · doi:10.1109/access.2016.2603219 · Cited by 711
Toward Social Internet of Vehicles: Concept, Architecture, and Applications
Alam, K. M., Saini, M., & El Saddik, A. (2015) · IEEE Access · doi:10.1109/access.2015.2416657 · Cited by 406
A systematic review on routing protocols for Vehicular Ad Hoc Networks
Dua, A., Kumar, N., & Bawa, S. (2014) · Vehicular Communications · doi:10.1016/j.vehcom.2014.01.001 · Cited by 289
Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges
Ang, L.-M., Seng, K. P., Ijemaru, G. K., & Zungeru, A. M. (2019) · IEEE Access · doi:10.1109/access.2018.2887076 · Cited by 254
Cognitive Internet of Vehicles
Chen, M., Tian, Y., Fortino, G., Zhang, J., & Humar, I. (2018) · Computer Communications · doi:10.1016/j.comcom.2018.02.006 · Cited by 237
A Hierarchical Architecture for the Future Internet of Vehicles
Liu, K., Xu, X., Chen, M., Liu, B., Wu, L., & Lee, V. C. S. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2019.1800772 · Cited by 133
Architecture and key technologies for Internet of Vehicles: A survey
Yang, F., Li, J., Lei, T., & Wang, S. (2017) · Journal of Communications and Information Networks · doi:10.1007/s41650-017-0018-6 · Cited by 129
TACASHI: Trust-Aware Communication Architecture for Social Internet of Vehicles
Kerrache, C. A., Lagraa, N., Hussain, R., Ahmed, S. H., Benslimane, A., Calafate, C. T., Cano, J., & Vegni, A. M. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2880332 · Cited by 86
Seeing Is Believing: Sharing Real-Time Visual Traffic Information via Vehicular Clouds
Kwak, D., Liu, R., Kim, D., Nath, B., & Iftode, L. (2016) · IEEE Access · doi:10.1109/access.2016.2569585 · Cited by 43
Cited by
Autonomous driving system: A comprehensive survey
Zhao, J., Zhao, W., Deng, B., Wang, Z., Zhang, F., Zheng, W., Cao, W., Nan, J., Lian, Y., & Burke, A. F. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122836 · Cited by 361
Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV
Feng, C., Yu, K., Aloqaily, M., Alazab, M., Lv, Z., & Mumtaz, S. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3027568 · Cited by 253
Self-citationKanellopoulos, D., Sharma, V. K., Panagiotakopoulos, T., & Kameas, A. (2023) · Electronics · doi:10.3390/electronics12112490 · Cited by 120
IoB: Internet-of-batteries for electric Vehicles–Architectures, opportunities, and challenges
Li, H., Bin Kaleem, M., Liu, Z., Wu, Y., Liu, W., & Huang, Z. (2023) · Green Energy and Intelligent Transportation · doi:10.1016/j.geits.2023.100128 · Cited by 95
Falsification Detection System for IoV Using Randomized Search Optimization Ensemble Algorithm
Anyanwu, G. O., Nwakanma, C. I., Lee, J.-M., & Kim, D.-S. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3233536 · Cited by 32
Metadata
- Authors
- Ji, B., Zhang, X., Mumtaz, S., Han, C., Li, C., Wen, H., & Wang, D.
- Venue
- IEEE Communications Standards Magazine
- Published
- 2020-03
- Volume
- 4
- Issue
- 1
- Pages
- 34-41
- ISSN
- 2471-2825 (ISSN-L)
- 2471-2833
- OpenAlex
- W3023238316
- Cited by
- 462
- References
- 10
- FWCI
- 19.92
- Type
- journal article
- Language
- en
- Open access
- closed
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: Survey on the Internet of Vehicles: Network Architectures and Applications. https://app.cochat.ai/papers/10.1109/mcomstd.001.1900053
- The paper
- Ji, B., Zhang, X., Mumtaz, S., Han, C., Li, C., Wen, H., & Wang, D. (2020). Survey on the Internet of Vehicles: Network Architectures and Applications. IEEE Communications Standards Magazine. https://doi.org/10.1109/mcomstd.001.1900053
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.