Description

Book Synopsis

1. Introduction of Unmanned Aerial Vehicles Swarm Networks.- 2. Adaptive UAV Swarm Networks Topology Organization.- 2.1. Introduction of Adaptive UAV Swarm Clustering and Networking.- 2.2. Fission Spectral Clustering Strategy for UAV Swarm Networks.- 2.3. Graph Attentional Based Agglomerative Cluster for UAV Swarm Networks.- 2.4. Adaptive State-aware UAV Swarm Networking Organization.- 3. Intelligent UAV Swarm Networks Routing.- 3.1. Introduction of Intelligent UAV Swarm Networks Routing.- 3.2. Evolutionary Game based Dynamic Routing in UAV Swarm Networks.- 3.3. Cooperative Learning based Dynamic Routing UAV Swarm Networks.- 3.4. Multi-agent Reinforcement Learning aided UAV Swarm Routing.- 4. On-demand UAV Network Resource Scheduling.- 4.1. Introduction of UAV Network Resource Scheduling.- 4.2. Graph Transformer Aided Resource Virtualization Embedding.- 4.3. Privacy-Driven Security-Aware Task Scheduling in Swarm Network.- 4.4. Stackelberg Game-Based Offloading Strategy for Swarm Networks.- 5. Semantic Communication Empowered UAV Swarm Networks.- 5.1. Introduction of Semantic Communication.- 5.2. Semantic Communication Aided UAV Swarm Networks.- 5.3. Incentive Semantic-aware UAV Swarm Networks Coordination.- 6. Federated Learning empowered UAV Swarm Networks.- 6.1. Introduction of Federated Learning.- 6.2. Clustered Federated Learning in Heterogeneous UAV Swarms Networks.- 6.3. Automatic Auction for Federated Learning in UAV Swarms Networks.- 7. Deterministic Networking Empowered UAV Swarm.- 7.1. Introduction of Deterministic Networking.- 7.2. Learning-Based Deterministic Traffic Scheduling for UAV Swarm.- 7.3. Hierarchical Scheduling Mechanism for Deterministic Traffic for UAV Swarm.- 8. Conclusions.

UAV Swarm Cooperation

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    A Hardback by Haipeng Yao

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      Publisher: Springer
      Publication Date: Publication Date: 23/08/2025
      ISBN13: 9783031964435, 978-3031964435
      ISBN10:
      Also in:
      Computing Network hardware

      Description

      Book Synopsis

      1. Introduction of Unmanned Aerial Vehicles Swarm Networks.- 2. Adaptive UAV Swarm Networks Topology Organization.- 2.1. Introduction of Adaptive UAV Swarm Clustering and Networking.- 2.2. Fission Spectral Clustering Strategy for UAV Swarm Networks.- 2.3. Graph Attentional Based Agglomerative Cluster for UAV Swarm Networks.- 2.4. Adaptive State-aware UAV Swarm Networking Organization.- 3. Intelligent UAV Swarm Networks Routing.- 3.1. Introduction of Intelligent UAV Swarm Networks Routing.- 3.2. Evolutionary Game based Dynamic Routing in UAV Swarm Networks.- 3.3. Cooperative Learning based Dynamic Routing UAV Swarm Networks.- 3.4. Multi-agent Reinforcement Learning aided UAV Swarm Routing.- 4. On-demand UAV Network Resource Scheduling.- 4.1. Introduction of UAV Network Resource Scheduling.- 4.2. Graph Transformer Aided Resource Virtualization Embedding.- 4.3. Privacy-Driven Security-Aware Task Scheduling in Swarm Network.- 4.4. Stackelberg Game-Based Offloading Strategy for Swarm Networks.- 5. Semantic Communication Empowered UAV Swarm Networks.- 5.1. Introduction of Semantic Communication.- 5.2. Semantic Communication Aided UAV Swarm Networks.- 5.3. Incentive Semantic-aware UAV Swarm Networks Coordination.- 6. Federated Learning empowered UAV Swarm Networks.- 6.1. Introduction of Federated Learning.- 6.2. Clustered Federated Learning in Heterogeneous UAV Swarms Networks.- 6.3. Automatic Auction for Federated Learning in UAV Swarms Networks.- 7. Deterministic Networking Empowered UAV Swarm.- 7.1. Introduction of Deterministic Networking.- 7.2. Learning-Based Deterministic Traffic Scheduling for UAV Swarm.- 7.3. Hierarchical Scheduling Mechanism for Deterministic Traffic for UAV Swarm.- 8. Conclusions.

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