UAV swarm networks face inherent constraints due to limited resources. Effectively managing and coordinating these resources to meet diverse service demands presents a significant research challenge. This chapter explores intelligent methods for UAV Network Resource Scheduling. Firstly, we employ virtualization techniques to abstract physical resources into virtual resources, enabling more flexible allocation of network resources to meet the varying demands of UAV nodes. Traditional heuristic methods for mapping virtual network requests to physical networks typically yield suboptimal solutions, as they often rely on manually designed features and constraints, which lack both flexibility and efficiency. To address these limitations, we leverage Graph Transformer technology to assist in the embedding of resource virtualization.

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Intelligent UAV Swarm Network Resource Scheduling

  • Haipeng Yao,
  • Tianle Mai

摘要

UAV swarm networks face inherent constraints due to limited resources. Effectively managing and coordinating these resources to meet diverse service demands presents a significant research challenge. This chapter explores intelligent methods for UAV Network Resource Scheduling. Firstly, we employ virtualization techniques to abstract physical resources into virtual resources, enabling more flexible allocation of network resources to meet the varying demands of UAV nodes. Traditional heuristic methods for mapping virtual network requests to physical networks typically yield suboptimal solutions, as they often rely on manually designed features and constraints, which lack both flexibility and efficiency. To address these limitations, we leverage Graph Transformer technology to assist in the embedding of resource virtualization.