A comparative study of latency in cloud, edge, and UAV-based intelligent edge computing

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Gyeong-Rae
Jo Won-Hyuk, Choi

Abstract

 Due to the recent increase in digital data, data processing and management have become more important. As a solution to this, UAV-based communication networks are emerging. Against this background, the UAV-based communication networks are emphasizing the fact that they are emerging as promising solutions in wireless communication systems. This study aims to compare the latency between cloud computing(CC), edge computing(EC), collaborative cloud and edge computing(CCEC), and UAV-based intelligent edge computing(UEC). This study analyzes the performance differences of these four methods as the number of nodes increases. By setting up a virtual environment, penalties due to lack of infrastructure resources were given to CC and EC and CCEC, and under these conditions, it was confirmed that UEC performs better than other methods. In addition, this study emphasizes the importance and efficiency of UEC, and as a result, this study presents the possibility and importance of building an advanced UAV communication network.

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How to Cite
Gyeong-Rae, & Jo Won-Hyuk, Choi. (2024). A comparative study of latency in cloud, edge, and UAV-based intelligent edge computing. Educational Administration: Theory and Practice, 30(4), 3862–3867. https://doi.org/10.53555/kuey.v30i4.2138
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Articles
Author Biographies

Gyeong-Rae

Department of Aeronautical Systems Engineering, Hanseo University, Taean 236-49, Korea

Jo Won-Hyuk, Choi

Department of Aeronautical Systems Engineering, Hanseo University, Taean 236-49, Korea