UAV Swarm Networks: Models, Protocols, and Systems

Description

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. Cover Half Title Title Page Copyright Page Contents Preface About the Authors PART I: UAV Network Architecture Chapter 1. Communication Topology Analysis upon a Swarm of UAVs: A Survey Chapter 2. Unmanned Aerial Vehicle Navigation Using Deep Learning Chapter 3. Formation Control of Networked UAVs Chapter 4. 5G-Enabled 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 Network 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): Toward 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 Index