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IEEE/ICACT20250172 Slide.19        [Big Slide]       [YouTube]	Oral Presentation
	To address the challenges of high mobility, interference, and large-scale coverage in UAV-mounted weapon networks, this paper proposes an anti-jamming weighted clustering algorithm (AJWCA). The algorithm uses K-means++ for balanced clustering, incorporates an interference factor, and introduces backup cluster heads for enhanced stability. Simulations demonstrate improved recovery, scalability, and adaptability,making AJWCA suitable for complex environments.

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