UAV Swarm Networks: Models, Protocols, and Systems
UAV swarm network has been used in many critical applications such as disaster recovery, area surveillance, weather monitoring, military communications, etc. 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 across UAVs, swarm shape/formation control, intelligent UAV mobility/position prediction, and so on. 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.
· Chapters written by professors, researchers, engineers, and experts in UAV networking fields;
· Detailed network protocol descriptions for practical engineering designs;
· Covers 7-layer protocols (particularly data routing layer);
· Novel AI models/algorithms for intelligent UAV swarming/networking control;
· 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 which determine the future society development in this exciting field; and (4) other interested readers with strong desire to understand the challenges of designing an QoS-oriented UAV network.
Book editors: (1) Prof. Fei Hu, Professor in Electrical and Computer Engineering at University of Alabama, USA; (2) Prof. Sunil Kumar, Professor in Electrical and Computer Engineering at San Diego State University, USA; (3) Dr. Scott Pudlewski, Program Director and Senior Scientist of Air Force Research Lab, USA. (4) Dr. Elizabeth Bentley, Program Director and Senior Scientist of Air Force Research Lab, USA.
- Derechos de autor:
- 2021 Taylor
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