Large-Scale UAV Swarm Communication with Graph Convolutional Network and Dynamic Clustering 


Vol. 50,  No. 3, pp. 428-431, Mar.  2025
10.7840/kics.2025.50.3.428


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  Abstract

In this paper, we propose a method to address communication efficiency degradation and network latency issues arising from increasing complexity in large-scale unmanned aerial vehicle (UAV) swarm networks. The proposed approach involves a graph convolutional network model combined with dynamic clustering and cluster leader designation to restructure communication flow. Simulations using a MATLAB communication simulator verify the effectiveness of the proposed method in enhancing communication performance and stability.

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[IEEE Style]

Y. Kim and Y. Shin, "Large-Scale UAV Swarm Communication with Graph Convolutional Network and Dynamic Clustering," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 3, pp. 428-431, 2025. DOI: 10.7840/kics.2025.50.3.428.

[ACM Style]

Yo-Sep Kim and Yoan Shin. 2025. Large-Scale UAV Swarm Communication with Graph Convolutional Network and Dynamic Clustering. The Journal of Korean Institute of Communications and Information Sciences, 50, 3, (2025), 428-431. DOI: 10.7840/kics.2025.50.3.428.

[KICS Style]

Yo-Sep Kim and Yoan Shin, "Large-Scale UAV Swarm Communication with Graph Convolutional Network and Dynamic Clustering," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 3, pp. 428-431, 3. 2025. (https://doi.org/10.7840/kics.2025.50.3.428)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880