UAV-Based Intelligent Edge Computing

Authors

  • Won-Hyuck Choi Department of Aeronautical Systems Engineering, Hanseo University, Taean 236-49, Korea
  • Gyeong-Rae Jo Department of Aeronautical Systems Engineering, Hanseo University, Taean 236-49, Korea

Keywords:

Cloud Computing, Edge Computing, Virtual Environment, Digital Data, Communication Network

Abstract

The growth of digital data has increased the importance of data processing and management. UAV-based communication networks leverage unmanned aerial vehicles to provide wireless services in remote areas. These systems have the potential to deliver high-speed data transfer, reliable connectivity, and improved network coverage, making them popular for various applications. The present study aimed to compare data processing time and latency between cloud computing (CC), edge computing (EC), and UAV-based intelligent edge computing (UEC). The performance differences of these three methods were analyzed as the number of nodes increased. The virtual environment was set up to give CC and EC penalties due to a lack of infrastructure resources, and under these conditions, UEC performed better than the other two methods. In addition, the study emphasizes on the importance and efficiency of UEC and presents the possibility and importance of building an advanced UAV communication network.

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References

Y. Mao et al., “A Survey on Mobile Edge Computing: The Communication Perspective,” IEEE Commun. Surveys Tuts., vol. 19, no. 4, pp. 2322–58, Apr. 2017.

Y. Zeng, R. Zhang, and T. J. Lim, “Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges,” IEEE Commun. Mag., vol. 54, no. 5, pp. 36–42, May 2016.

Daneshyar, S., & Razmjoo, M. (2012). Large-scale data processing using mapreduce in cloud computing environment. International Journal on Web Service Computing, 3(4), 1.

Cao, K., Liu, Y., Meng, G., & Sun, Q. (2020). An overview on edge computing research. IEEE access, 8, 85714-85728.

J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, No. 7, pp.1645-1660, Sept. 2013.

L. D. Xu, W. He, and S. Li, “Internet of Things in Industries: A Survey,” IEEE Trans. on Industrial Informatics, vol. 10, pp. 2233-2243. No. 2014.

A. Ahmed and E. Ahmed, “A Survey on Mobile Edge Computing,” IEEE International Conf. on Intelligent Systems and Control, pp. 1-8, Jan. 2019.

Nasir Abbas at al “Mobile Edge Computing: A Survey” IEEE internet of Things Journal pp. 450-465, Sep 2017.

C. Zhan, H. Hu, X. Sui, Z. Liu, and D. Niyato, “Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System,” IEEE Internet Things J., vol. 7, no. 8, pp. 7808-7822, Aug. 2020.

Y Yazid, I Ez-Zazi, “UAV-enabled mobile edge-computing for IoT based on AI: A comprehensive review” MDPI Journal, vol. 5, Dec 2021.

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Published

27.12.2023

How to Cite

Choi , W.-H. ., & Jo, G.-R. . (2023). UAV-Based Intelligent Edge Computing. International Journal of Intelligent Systems and Applications in Engineering, 12(9s), 447–451. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4338

Issue

Section

Research Article