A Review on IoT Based Vehicular Edge Computing

Authors

  • Mihir Narayan Mohanty Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar Author

DOI:

https://doi.org/10.61841/sapp4509

Keywords:

QoS, IoT, Fog computing, Cloud Computing, Internet of Vehicle, Vehicular Edge Computing (VEC).

Abstract

 Vehicular Edge Computing (VEC), a brand new network paradigm, has recently been introduced in the brand new system to further strengthen its storage for computing. The obstacle to compliance with certain computational and communications specifications is prominent along with the beginning of modern vehicular applications. With all the success of VEC, the sponsoring services of the service provider close to both smart automobiles, such as lowering latency and improving the high-level quality of service (QoS). The VEC structure combined with every notion of software, its own services and the automobile, is exemplified by this paper. This paper have assessed and described all the most recent and relevant solutions. This paper nail forward research problems and discard slightly. This paper enables readers to gain a better understanding of the field, but it also provides guidance for one area of research within the VEC. 

Downloads

Download data is not yet available.

References

[1] M. Aazam, S. Zeadally, and K. A. Harras, “Offloading in fog computing for IoT: Review, enabling

technologies, and research opportunities,” Futur. Gener. Comput. Syst., 2018.

[2] J. Ni, K. Zhang, X. Lin, and X. S. Shen, “Securing Fog Computing for Internet of Things Applications:

Challenges and Solutions,” IEEE Commun. Surv. Tutorials, 2018.

[3] C. Perera, Y. Qin, J. C. Estrella, S. Reiff-Marganiec, and A. V. Vasilakos, “Fog computing for sustainable

smart cities: A survey,” ACM Comput. Surv., 2017.

[4] M. A. Khan and K. Salah, “IoT security: Review, blockchain solutions, and open challenges,” Futur. Gener.

Comput. Syst., 2018.

[5] M. U.Farooq, M. Waseem, S. Mazhar, A. Khairi, and T. Kamal, “A Review on Internet of Things (IoT),” Int.

J. Comput. Appl., 2015.

[6] M. R. Palattella et al., “Internet of Things in the 5G Era: Enablers, Architecture, and Business Models,” IEEE

J. Sel. Areas Commun., 2016.

[7] A. Lele, “Cloud computing,” in Smart Innovation, Systems and Technologies, 2019.

[8] T. Dillon, C. Wu, and E. Chang, “Cloud computing: Issues and challenges,” in Proceedings - International

Conference on Advanced Information Networking and Applications, AINA, 2010.

[9] M. M. Alani, “Security threats in cloud computing,” in SpringerBriefs in Computer Science, 2016.

[10] J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, and W. Zhao, “A Survey on Internet of Things: Architecture,

Enabling Technologies, Security and Privacy, and Applications,” IEEE Internet Things J., 2017.

[11] I. Stojmenovic and S. Wen, “The Fog computing paradigm: Scenarios and security issues,” in 2014 Federated

Conference on Computer Science and Information Systems, FedCSIS 2014, 2014.

[12] O. Kaiwartya et al., “Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and

Future Aspects,” IEEE Access, 2016.

[13] F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog computing and its role in the internet of things,” in

MCC’12 - Proceedings of the 1st ACM Mobile Cloud Computing Workshop, 2012.

[14] C. Wu, H. Mohsenian-Rad, and J. Huang, “Vehicle-to-aggregator interaction game,” IEEE Trans. Smart Grid,

2012.

[15] X. Zhang et al., “Towards a smart energy network: The roles of fuel/electrolysis cells and technological

perspectives,” International Journal of Hydrogen Energy. 2015.

[16] G. J. L. Naus, R. P. A. Vugts, J. Ploeg, M. J. G. Van De Molengraft, and M. Steinbuch, “String-stable CACC

design and experimental validation: A frequency-domain approach,” IEEE Trans. Veh. Technol., 2010.

[17] F. Petrosino, M. De Stefano Fumo, G. Pezzella, and P. Catalano, “Evolution of aerodynamic shape for a

concept of autonomus re-entry vehicle,” in 31st AIAA Applied Aerodynamics Conference, 2013.

[18] A. Mukherjee, S. Bhaumik, and S. Kanti Bhattacharya, “EXTREMITY OF INDIAN AUTONOMUS

UNDERWATER VEHICLE: A SURVEY,” 2016.

Downloads

Published

03.04.2025

How to Cite

Narayan Mohanty, M. (2025). A Review on IoT Based Vehicular Edge Computing. International Journal of Psychosocial Rehabilitation, 23(5), 27-36. https://doi.org/10.61841/sapp4509