Enhanced UAV Swarm Networking: a Distributed Density Peaks Clustering Approach*

Recently, unmanned aerial vehicle (UAV) swarm networks have garnered considerable interest from both academia and industry, with applications spanning disaster response and logistics. These environments are complex and demand efficient, stable network performance under highly dynamic conditions. Clustering is a promising solution to manage UAVs by creating a hierarchical structure. We propose a distributed method, Distracted Density Peaks Clustering (DDPC), which uses local information to build a decision graph and identify density centers. Additionally, a dynamic maintenance strategy enhances adaptability, and simulations confirm its effectiveness.