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.

• PrefacePart I. UAV Network ArchitectureChapter 1. Communication Topology Analysis upon a Swarm of UAVs: A SurveyChapter 2. Unmanned Aerial Vehicles Navigation using Deep LearningChapter 3. A survey of formation control of networked UAVsChapter 4. 5G-based UAV CommunicationsPart II. UAV MobilityChapter 5. Machine Learning for Multi-UAV Mobility PredictionChapter 6. Routing and Mobility Models for Ad-hoc UAV NetworksPart III. Communication ProtocolsChapter 7. Skeleton Extraction of Routing Topology in UAV NetworksChapter 8. Routing in 3D UAV Swarm NetworksChapter 9. UAV Protocol Design for Computation ApplicationsPart IV. Reliability and SecurityChapter 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 SolutionsChapter 12. Jamming Attacks and Countermeasures in UAV NetworksChapter 13. Resilient UAV Networks: Solutions and Trends Part V. Hardware and Software ImplementationsChapter 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

Select Guide Rating

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.

• PrefacePart I. UAV Network ArchitectureChapter 1. Communication Topology Analysis upon a Swarm of UAVs: A SurveyChapter 2. Unmanned Aerial Vehicles Navigation using Deep LearningChapter 3. A survey of formation control of networked UAVsChapter 4. 5G-based UAV CommunicationsPart II. UAV MobilityChapter 5. Machine Learning for Multi-UAV Mobility PredictionChapter 6. Routing and Mobility Models for Ad-hoc UAV NetworksPart III. Communication ProtocolsChapter 7. Skeleton Extraction of Routing Topology in UAV NetworksChapter 8. Routing in 3D UAV Swarm NetworksChapter 9. UAV Protocol Design for Computation ApplicationsPart IV. Reliability and SecurityChapter 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 SolutionsChapter 12. Jamming Attacks and Countermeasures in UAV NetworksChapter 13. Resilient UAV Networks: Solutions and Trends Part V. Hardware and Software ImplementationsChapter 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

Select Guide Rating

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.

• PrefacePart I. UAV Network ArchitectureChapter 1. Communication Topology Analysis upon a Swarm of UAVs: A SurveyChapter 2. Unmanned Aerial Vehicles Navigation using Deep LearningChapter 3. A survey of formation control of networked UAVsChapter 4. 5G-based UAV CommunicationsPart II. UAV MobilityChapter 5. Machine Learning for Multi-UAV Mobility PredictionChapter 6. Routing and Mobility Models for Ad-hoc UAV NetworksPart III. Communication ProtocolsChapter 7. Skeleton Extraction of Routing Topology in UAV NetworksChapter 8. Routing in 3D UAV Swarm NetworksChapter 9. UAV Protocol Design for Computation ApplicationsPart IV. Reliability and SecurityChapter 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 SolutionsChapter 12. Jamming Attacks and Countermeasures in UAV NetworksChapter 13. Resilient UAV Networks: Solutions and Trends Part V. Hardware and Software ImplementationsChapter 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

Select Guide Rating