Energy-Efficient Clustering Algorithm for UAV-BSs with Low-Complexity 


Vol. 44,  No. 10, pp. 1856-1859, Oct.  2019
10.7840/kics.2019.44.10.1856


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  Abstract

In this paper, we propose a low-complexity dynamic clustering and 3-D placement algorithm of multiple unmanned aerial vehicle base stations (UAV-BSs) to efficiently service ground users with mobility in real-time. The proposed algorithm inductively updates the cluster based on the users deviated from the previous clusters. We show that our proposed algorithm has lower complexity and leads to the lower total power consumption of UAV-BSs compared to conventional algorithms by simulation.

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  Cite this article

[IEEE Style]

H. Jeon, Taehun-Jung, C. Chae, "Energy-Efficient Clustering Algorithm for UAV-BSs with Low-Complexity," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 10, pp. 1856-1859, 2019. DOI: 10.7840/kics.2019.44.10.1856.

[ACM Style]

Hong-Bae Jeon, Taehun-Jung, and Chan-Byoung Chae. 2019. Energy-Efficient Clustering Algorithm for UAV-BSs with Low-Complexity. The Journal of Korean Institute of Communications and Information Sciences, 44, 10, (2019), 1856-1859. DOI: 10.7840/kics.2019.44.10.1856.

[KICS Style]

Hong-Bae Jeon, Taehun-Jung, Chan-Byoung Chae, "Energy-Efficient Clustering Algorithm for UAV-BSs with Low-Complexity," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 10, pp. 1856-1859, 10. 2019. (https://doi.org/10.7840/kics.2019.44.10.1856)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880