• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Self-Organization of Multi-UAVs for Improving QoE in Unequal User Distribution


Abstract

A self-organizing multiple unmanned aerial vehicles (multi-UAVs) deployment based on virtual forces has a difficulty in ensuring the quality-of-experience (QoE) of users because of the difference between the assumed center for users in a hotspot and an actual center for users in the hotspot. This discrepancy is aggravated in a non-uniform and mobile user distribution. To address this problem, we propose a new density based virtual force (D-VF) multi-UAVs deployment algorithm which employs a mean opinion score (MOS) as a metric of QoE. Because MOS is based on signal-to-noise ratio (SNR), a sum of users’ MOS is a good metric not only to secure a wide service area but to enhance the link quality between multi-UAVs and users. The proposed algorithm improves users’ QoE by combining virtual forces with a random search force for the exploration of finding multi-UAVs’ positions which maximize the sum of users’ MOS. In simulation results, the proposed deployment algorithm shows the convergence of the multi-UAVs into the position of maximizing MOS. Therefore, the proposed algorithm outperforms the conventional virtual force-based deployment scheme in terms of QoE for non-uniform user distribution scenarios.


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Cite this article

[IEEE Style]
Y. Jeon, W. Lee, T. M. Hoang and T. kim, "Self-Organization of Multi-UAVs for Improving QoE in Unequal User Distribution," KSII Transactions on Internet and Information Systems, vol. 16, no. 4, pp. 1351-1372, 2022. DOI: 10.3837/tiis.2022.04.014.

[ACM Style]
Young Jeon, Wonseok Lee, Tran Manh Hoang, and Taejoon kim. 2022. Self-Organization of Multi-UAVs for Improving QoE in Unequal User Distribution. KSII Transactions on Internet and Information Systems, 16, 4, (2022), 1351-1372. DOI: 10.3837/tiis.2022.04.014.

[BibTeX Style]
@article{tiis:25592, title="Self-Organization of Multi-UAVs for Improving QoE in Unequal User Distribution", author="Young Jeon and Wonseok Lee and Tran Manh Hoang and Taejoon kim and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2022.04.014}, volume={16}, number={4}, year="2022", month={April}, pages={1351-1372}}