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.
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.
Dr. Fei Hu has already published over 10 technical books with CRC publisher. He is currently a Professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa, Alabama, USA. He obtained his Ph.D. degrees at Tongji University (Shanghai, China) in the field of Signal Processing (in 1999), and at Clarkson University (New York, USA) in Electrical and Computer Engineering (in 2002). He has published over 200 journal/conference papers and books. Dr. Hu's research has been supported by U.S. National Science Foundation, Cisco, Sprint, and other sources.
Inhaltsangabe
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
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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