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25.6 MB
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F079E0039DA9A5D01FE0AF55AF4962926CB848FE
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Sept. 22, 2025, 8:36 a.m.
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(Last updated: Sept. 22, 2025, 8:38 a.m.)
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| Yao H., Mai T. UAV Swarm Cooperation. A Networking Perspective 2026.pdf | 25.6 MB |
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2025-09-22
| Uploaded by andryold1 | Size 25.6 MB | Health [ 27 /11 ] | Added 2025-09-22 |
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8.0 GB
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| Uploaded by IGGGAMESCOM | Size 8.0 GB | Health [ 21 /107 ] | Added 2025-04-18 |
NOTE
SOURCE: Yao H., Mai T. UAV Swarm Cooperation. A Networking Perspective 2026
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COVER
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MEDIAINFO
Textbook in PDF format This book provides a comprehensive examination of Unmanned Aerial Vehicles (UAV) swarm collaboration from a networking perspective. It systematically analyzes key components such as network topology construction, efficient routing algorithms and resource management strategies. The second chapter addresses adaptive clustering and dynamic network planning, enabling UAV swarms to adjust their topologies and maintain robust structures in fluctuating environments. The third chapter introduces intelligent routing algorithms designed to optimize network resilience and performance metrics, including lifetime, packet delivery rate and throughput. Chapter four investigates resource scheduling challenges proposing virtualization-based strategies for the optimal allocation of computational and communication resources. Chapters five through seven discuss the opportunities and challenges posed by emerging network technologies. It includes encompassing semantic communication for enhanced data transfer efficiency, the application of distributed learning techniques (e.g., federated and reinforcement learning) for intelligent UAV swarm networks and deterministic networking approaches that ensure low-latency, reliable control in UAV precision-critical operations. In recent years, Unmanned Aerial Vehicle (UAV) swarms have been widely used in military and civilian fields. UAV swarms achieve mission objectives through distributed collaboration and communication, and can adapt to complex environmental changes and diversified mission requirements. Based on communication networking technology, UAV swarm networks can achieve efficient communication guarantee and coverage, and information interaction and synchronization between nodes further improve mission effectiveness. This chapter first outlines the concept and connotation of UAV swarm networks, and explains its research hotspots and applications in academia and industry. In addition, this chapter also discusses emerging technologies enabling UAV swarm networks and related research and industry standards of UAV swarm networks. The UAV swarm acts as an operating unit composed of multiple UAVs controlled through collaborative control. It adopts a coordinated architecture that can effectively share the workload of a single node while significantly reducing the degree of dependence on centralized control. In complex application scenarios, UAV swarms can effectively disperse the risk of single point failures through a dynamic task allocation mechanism, thereby improving the reliability and safety of task execution. Preface Introduction Adaptive UAV Swarm Clustering and Networking Intelligent UAV Swarm Routing Intelligent UAV Swarm Network Resource Scheduling Distributed Learning Empowered UAV Swarm Networks Cooperation Semantic Communication Empowered UAV Swarm Networks Deterministic Network Empowered UAV Swarm Conclusion
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