1st Edition

UAV Swarm Networks: Models, Protocols, and Systems





ISBN 9780367519988
Published November 1, 2020 by CRC Press
316 Pages

USD $54.95

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Book 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.

Table of Contents

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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Editor(s)

Biography

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.