Blockchain-Driven Framework for Enhancing Electric Vehicle Performance and Internet of Vehicle Connectivity

Authors

DOI:

https://doi.org/10.52756/ijerr.2024.v46.022

Keywords:

Electric vehicle, Internet of vehicles, Blockchain, Optimization

Abstract

Internet of vehicle (IoV) is a new way of enhancing vehicle performance and communication. This paper investigates the technology and applications that drive its integration. By dealing with data privacy, speed, and sizing issues, IoV in electric vehicles enhances real-time data transfer, predictive maintenance and route optimisation. The research led to the Blockchain Six-Layer Centralised Architecture Model (BS-LCAM). This research mainly seeks to improve the efficiency and safety of electric vehicles (EVs) and IoV networks. The six levels comprising this paradigm are data link, physical, transport, application and security. For instance, this layer assures that information can be kept safe over networks but cannot get lost or modified without all parties' permission. All these stages are enhanced by blockchain technology. It provides a secure connection for the BS-LCAM framework, allowing fast data storage and seamless interoperability among several IoV constituents. For example, an intelligent mobility system’s flexibility (comprehensive BS-LCAM model) might benefit different areas such as autonomous driving, energy optimization, fleet management and user-centric services. This paper simulates the performance of BS-LCAM model in diverse environments with 97.6 % performance and scalability, 98.7% route optimization and route optimization.

References

Abro, G. E. M., Zulkifli, S. A. B., Kumar, K., El Ouanjli, N., Asirvadam, V. S., & Mossa, M. A. (2023). Comprehensive review of recent advancements in battery technology, propulsion, power interfaces, and vehicle network systems for intelligent autonomous and connected electric vehicles. Energies, 16(6), 2925. https://doi.org/10.3390/en16062925

Afzal, M. Z., Aurangzeb, M., Iqbal, S., Pushkarna, M., Rehman, A. U., Kotb, H., ... & Bereznychenko, V. (2023). A Novel Electric Vehicle Battery Management System Using an Artificial Neural Network?Based Adaptive Droop Control Theory. International Journal of Energy Research, 2023(1), 2581729. https://doi.org/10.1155/2023/2581729

Aldhanhani, T., Abraham, A., Hamidouche, W., & Shaaban, M. (2024). Future Trends in Smart Green IoV: Vehicle-to-Everything in the Era of Electric Vehicles. IEEE Open Journal of Vehicular Technology, 5, 278–297. https://doi.org/10.1109/ojvt.2024.3358893

Almutairi, M. S., Almutairi, K., & Chiroma, H. (2023). Hybrid of deep recurrent network and long short-term memory for rear-end collision detection in fog based internet of vehicles. Expert Systems with Applications, 213, 119033.

Alqahtani, H., & Kumar, G. (2024). Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems. Engineering Applications of Artificial Intelligence, 129, 107667. https://doi.org/10.1016/j.engappai.2023.107667

Arooj, A., Farooq, M. S., Akram, A., Iqbal, R., Sharma, A., & Dhiman, G. (2022). Big data processing and analysis in internet of vehicles: architecture, taxonomy, and open research challenges. Archives of Computational Methods in Engineering, 29(2), 793-829. https://doi.org/10.1007/s11831-021-09607-5

Chen, C.-M., Miao, Q., Kumari, S., Khan, M. K., & Rodrigues, J. J. P. C. (2024). A Privacy-Preserving Authentication Protocol for Electric Vehicle Battery Swapping Based on Intelligent Blockchain. IEEE Internet of Things Journal, 11(10), 17538–17551. https://doi.org/10.1109/jiot.2024.3360280

Duan, W., Gu, J., Wen, M., Zhang, G., Ji, Y., & Mumtaz, S. (2020). Emerging technologies for 5G-IoV networks: applications, trends and opportunities. IEEE Network, 34(5), 283-289. https://doi.org/10.1109/MNET.001.1900659

Emodi, N. V., Akuru, U. B., Dioha, M. O., Adoba, P., Kuhudzai, R. J., & Bamisile, O. (2023). The role of Internet of Things on electric vehicle charging infrastructure and consumer experience. Energies, 16(10), 4248. https://doi.org/10.3390/en16104248

Hasan, M. K., Habib, A. A., Islam, S., Balfaqih, M., Alfawaz, K. M., & Singh, D. (2023). Smart grid communication networks for electric vehicles empowering distributed energy generation: Constraints, challenges, and recommendations. Energies, 16(3), 1140.

https://doi.org/10.3390/en16031140

Islam, M. S., Ahsan, M. S., Rahman, M. K., & AminTanvir, F. (2023). Advancements in battery technology for electric vehicles: A comprehensive analysis of recent developments. Global Mainstream Journal of Innovation, Engineering & Emerging Technology, 2(02), 01-28. https://doi.org/10.62304/jieet.v2i02.63

Jayakumar, D., & Peddakrishna, S. (2024). Performance Evaluation of YOLOv5-based Custom Object Detection Model for Campus-Specific Scenario. International Journal of Experimental Research and Review, 38, 46-60. https://doi.org/10.52756/ijerr.2024.v38.005

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, 4(1), 34-41. https://doi.org/10.1109/MCOMSTD.001.1900053

Kapassa, E., Themistocleous, M., Christodoulou, K., & Iosif, E. (2021). Blockchain application in internet of vehicles: Challenges, contributions and current limitations. Future Internet, 13(12), 313. https://doi.org/10.3390/fi13120313

Kim, S., Shrestha, R., Kim, S., & Shrestha, R. (2020). Internet of vehicles, vehicular social networks, and cybersecurity. Automotive Cyber Security: Introduction, Challenges, and Standardization, pp.149-181. https://doi.org/10.1007/978-981-15-8053-6_7

Li, H., Bin Kaleem, M., Liu, Z., Wu, Y., Liu, W., & Huang, Z. (2023). IoB: Internet-of-batteries for electric Vehicles–Architectures, opportunities, and challenges. Green Energy and Intelligent Transportation, 2(6), 100128. https://doi.org/10.1016/j.geits.2023.100128

Lv, Z., Chen, D., & Wang, Q. (2020). Diversified technologies in internet of vehicles under intelligent edge computing. IEEE transactions on Intelligent Transportation Systems, 22(4), 2048-2059. https://doi.org/10.1109/TITS.2020.3019756

Lv, Z., Qiao, L., Cai, K., & Wang, Q. (2020). Big data analysis technology for electric vehicle networks in smart cities. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1807-1816. https://doi.org/10.1109/TITS.2020.3008884

Mahmood, Z. (2020). Connected vehicles in the IoV: Concepts, technologies and architectures. Connected Vehicles in the Internet of Things: concepts, Technologies and Frameworks for the IoV, pp. 3-18. https://doi.org/10.1007/978-3-030-36167-9_1

Qureshi, K. N., Din, S., Jeon, G., & Piccialli, F. (2020). Internet of vehicles: Key technologies, network model, solutions and challenges with future aspects. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1777-1786. https://doi.org/10.1109/TITS.2020.2994972

Rani, P., Sharma, C., Ramesh, J. V. N., Verma, S., Sharma, R., Alkhayyat, A., & Kumar, S. (2024). Federated Learning-Based Misbehavior Detection for the 5G-Enabled Internet of Vehicles. IEEE Transactions on Consumer Electronics, 70(2), 4656–4664. https://doi.org/10.1109/tce.2023.3328020

Reddy, B. P. K., & Reddy, V. U. (2024). PV-Based Design and Evaluation of Power Electronic Topologies for EV Applications. International Journal of Experimental Research and Review, 39(Spl Volume), 118–128. https://doi.org/10.52756/ijerr.2024.v39spl.009

Rimal, B. P., Kong, C., Poudel, B., Wang, Y., & Shahi, P. (2022). Smart electric vehicle charging in the era of internet of vehicles, emerging trends, and open issues. Energies, 15(5), 1908. https://doi.org/10.3390/en15051908

Singh, A. R., Vishnuram, P., Alagarsamy, S., Bajaj, M., Blazek, V., Damaj, I., ... & Othman, K. M. (2024). Electric vehicle charging technologies, infrastructure expansion, grid integration strategies, and their role in promoting sustainable e-mobility. Alexandria Engineering Journal, 105, 300-330. https://doi.org/10.1016/j.aej.2024.06.093

Storck, C. R., & Duarte-Figueiredo, F. (2020). A survey of 5G technology evolution, standards, and infrastructure associated with vehicle-to-everything communications by internet of vehicles. IEEE Access, 8, 117593-117614. https://doi.org/10.1109/ACCESS.2020.3004779

Taslimasa, H., Dadkhah, S., Neto, E. C. P., Xiong, P., Ray, S., & Ghorbani, A. A. (2023). Security issues in Internet of Vehicles (IoV): A comprehensive survey. Internet of Things, 22, 100809. https://doi.org/10.1016/j.iot.2023.100809

Ullah, Z., Rehman, A. U., Wang, S., Hasanien, H. M., Luo, P., Elkadeem, M. R., & Abido, M. A. (2023). IoT-based monitoring and control of substations and smart grids with renewables and electric vehicles integration. Energy, 282, 128924. https://doi.org/10.1016/j.energy.2023.128924

Wang, J., Zhu, K., & Hossain, E. (2021). Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking. IEEE Transactions on Green Communications and Networking, 6(1), 391-423. https://doi.org/10.1109/TGCN.2021.3127923

Wu, J., Zhang, M., Xu, T., Gu, D., Xie, D., Zhang, T., ... & Zhou, T. (2023). A review of key technologies in relation to large-scale clusters of electric vehicles supporting a new power system. Renewable and Sustainable Energy Reviews, 182, 113351. https://doi.org/10.1016/j.rser.2023.113351

Yuvaraj, T., Devabalaji, K. R., Kumar, J. A., Thanikanti, S. B., & Nwulu, N. I. (2024). A Comprehensive Review and Analysis of the Allocation of Electric Vehicle Charging Stations in Distribution Networks. IEEE Access, 12, 5404–5461. https://doi.org/10.1109/access.2023.3349274

Published

2024-12-30

How to Cite

Gudumian, S. (2024). Blockchain-Driven Framework for Enhancing Electric Vehicle Performance and Internet of Vehicle Connectivity. International Journal of Experimental Research and Review, 46, 285–296. https://doi.org/10.52756/ijerr.2024.v46.022

Issue

Section

Articles

Most read articles by the same author(s)