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  • UAV Swarm Networks: Models, Protocols, and Systems: Models, Protocols, and Systems

    UAV Swarm Networks: Models, Protocols, and Systems by Hu, Fei; Ou, DongXiu; Huang, Xin-lin;

    Models, Protocols, and Systems

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    Rövid leírás:

     This book covers all the important aspects in the management of UAV swarm network. It provides comprehensive coverage of the advanced network models, 7-layer protocols and system integration for UAV swarm network.

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    Hosszú leírás:

    UAV swarm network has been used in many critical applications, such as disaster recovery, area surveillance, weather monitoring, and military communications. There are many challenging R&D issues in UAV network designs, such as the hardware/software integration for a large-scale UAV network management, long-distance data transmissions among UAVs, swarm shape/formation control, and intelligent UAV mobility/position prediction. This book will be the first one to cover the engineering designs (especially network protocol designs) for dynamic, large-scale UAV network. It has the technical models/algorithms and protocol specifications for practical UAV swarm network deployment.


    Features:




    • Includes chapters written by professors, researchers, engineers, and experts in UAV networking fields



    • Details network protocol descriptions for practical engineering designs



    • Covers 7-layer protocols (particularly data routing layer)



    • Presents novel AI models/algorithms for intelligent UAV swarming/networking control



    • Highlights practical hardware/software implementations for advanced UAV networks


    This book is suitable to a variety of audiences: (1) industry UAV R&D engineers, administrators, or technicians, who would like to grasp the latest trends in UAV communications; (2) college graduate students or researchers, who may want to pursue some advanced research on large-scale UAV swarming and networking technologies; (3) government agencies that determine the future society development in this exciting field; and (4) other interested readers with a strong desire to understand the challenges of designing a QoS-oriented UAV network.


    The book editors are: Dr. Fei Hu, Professor in Electrical and Computer Engineering at University of Alabama, Tuscaloosa, Alabama, USA; Dr. Xin-Lin Huang, Professor in Information and Communication Engineering, Tongji University, Shanghai, China; and Dr. DongXiu Ou, Professor in Transportation Information Institute at Tongji University, Shanghai, China.

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    Tartalomjegyzék:


    Preface



    Part I. UAV Network Architecture



    Chapter 1. Communication Topology Analysis upon a Swarm of UAVs: A Survey



    Chapter 2. Unmanned Aerial Vehicles Navigation using Deep Learning



    Chapter 3. A survey of formation control of networked UAVs


    Chapter 4. 5G-based UAV Communications



     


    Part II. UAV Mobility


     


    Chapter 5. Machine Learning for Multi-UAV Mobility Prediction



    Chapter 6. Routing and Mobility Models for Ad-hoc UAV Networks



     


    Part III. Communication Protocols


     


    Chapter 7. Skeleton Extraction of Routing Topology in UAV Networks



    Chapter 8. Routing in 3D UAV Swarm Networks



    Chapter 9. UAV Protocol Design for Computation Applications




    Part IV. Reliability and Security


     


    Chapter 10. The Future of Directional Airborne Network (DAN): Towards an Intelligent, Resilient Cross-Layer Protocol Design with Low-Probability Detection (LPD) Considerations 



    Chapter 11. UAV Security Threats, Requirements and Solutions



    Chapter 12. Jamming Attacks and Countermeasures in UAV Networks



    Chapter 13. Resilient UAV Networks: Solutions and Trends 


     


    Part V. Hardware and Software Implementations


     


    Chapter 14. Empirical Evaluation of a Complete Hardware and Software Solution for UAV Swarm Networks 


    Chapter 15. Efficient and Robust Unmanned Aircraft C-band Communication System    



    Chapter 16. An analysis of the SwarmOS framework for UAV Swarms: usage in mission plan for rural applications


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