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Internet of Vehicles (IoV): A Survey of Challenges and Solutions
Abstract
The technological revolution of the Internet of Things (IoT) increased the number of objects (e.g., vehicles) connected to the Internet, making our lives easier, safer, and smarter. Putting IoT objects on the wheel has created a new technology called the Internet of Vehicle (IoV). The massive progress in communication and computing concepts brought the IoV to real implementation. The IoV is the advanced version of Vehicular Ad hoc Network (VANET), mainly designed to provide safe driving. Although the number of vehicles connected to the IoV keeps growing, there are various challenges and opportunities of the IoV technology that are still not clear. In this paper, several research papers related to the IoV were examined to identify and categorize the existing challenges of implementing and employing IoV in urban cities. Furthermore, this work outlines the IoV technical limitations that must be addressed. Moreover, various existing and future solutions that tackle the identified challenges were briefly discussed.
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“IoV’s primary objective is to ensure safe driving.”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [75]
In the citing paper
“Despite the fact that there are several surveys on IoV security [12,65,67,69,71,72,73,74,75], few surveys have covered ML-based solutions in security or in trust schemes in this environment.”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [75]
In the citing paper
“While IoV has been embraced by the vehicle manufacturing industry, the technology presents myriad challenges and opportunities that are yet to be explored [75].”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [75]
In the citing paper
“IoV highly depends on wireless communication for traffic flow management. For this reason, IoV is susceptible to various attacks such as data disclosure and session key leakage.”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [75]
Citations
The citation lists haven’t been fetched yet
References 84 · Cited by 74
Research works printed but not linked: 78
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Metadata
- Authors
- Fadhil, J. A., & Sarhan, Q. I.
- Affiliations
- University of Duhok (IQ)
- Venue
- 2020 21st International Arab Conference on Information Technology (ACIT)
- Publisher
- IEEE
- Published
- 2020-11-28
- Pages
- 1-10
- OpenAlex
- W3119625338
- Cited by
- 74
- References
- 84
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 21 · 2023: 22 · 2022: 5
- FWCI
- 9.49
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Arab Conference on Information Technology (ACIT) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Automotive Engineering › IoT and GPS-based Vehicle Safety Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- Internet of Vehicles, vehicular ad hoc networks, Internet of Things, connected vehicles, smart cities, vehicle safety, technical challenges, urban vehicular communication
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- CoChat. (2026). Citation check: Internet of Vehicles (IoV): A Survey of Challenges and Solutions. https://app.cochat.ai/papers/10.1109/acit50332.2020.9300095
- The paper
- Fadhil, J. A., & Sarhan, Q. I. (2020). Internet of Vehicles (IoV): A Survey of Challenges and Solutions. 2020 21st International Arab Conference on Information Technology (ACIT). https://doi.org/10.1109/acit50332.2020.9300095
