In contrast to terrestrial networks, UAV swarm networks are marked by dynamic topologies, unstable communication links, and inherent self-organizing behaviors, which present considerable challenges for their development and transmission. To address these issues, this chapter explores adaptive clustering and networking mechanisms for UAV swarms. By employing such strategically network clusters and organizational algorithms, both communication efficiency and network stability can be significantly enhanced in dynamic operational environments. To achieve this, we firstly introduce the Fission Spectral Clustering (FSC) strategy, which iteratively partitions the network through a fission process until predefined constraints are satisfied.

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Adaptive UAV Swarm Clustering and Networking

  • Haipeng Yao,
  • Tianle Mai

摘要

In contrast to terrestrial networks, UAV swarm networks are marked by dynamic topologies, unstable communication links, and inherent self-organizing behaviors, which present considerable challenges for their development and transmission. To address these issues, this chapter explores adaptive clustering and networking mechanisms for UAV swarms. By employing such strategically network clusters and organizational algorithms, both communication efficiency and network stability can be significantly enhanced in dynamic operational environments. To achieve this, we firstly introduce the Fission Spectral Clustering (FSC) strategy, which iteratively partitions the network through a fission process until predefined constraints are satisfied.