Overview
- Combines AI and communication networks to establish flexible UAV communication networks
- Focuses on possible applications of Unmanned Aerial Vehicles in a Smart City environment
- Recent research on Computational Intelligence for Unmanned Aerial Vehicles Communication Networks
Part of the book series: Studies in Computational Intelligence (SCI, volume 1033)
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About this book
This book aims to provide a vision that can combine the best of both Artificial Intelligence (AI) and communication networks for designing the deployment trajectory to establish flexible Unmanned Aerial Vehicles (UAV) communication networks.
This book will discuss the major challenges that can face deploying unmanned aerial vehicles in emergent networks. It will focus on possible applications of UAV in a Smart City environment where they can be supported by Internet of Things (IoT), wireless sensor networks, as well as 5G, and beyond.
This book presents the possible problems and solutions, the network integration of the UAV and compare the communication technologies to be used.
This book will be a collection of original contributions regarding state of the art AI/ML based solutions in UAV communication networks which can be used for routing protocol design, transport layer optimization, user/application behaviour prediction, communicationnetwork optimization, security, and anomaly detection.
This book will discuss the major challenges that can face deploying unmanned aerial vehicles in emergent networks. It will focus on possible applications of UAV in a Smart City environment where they can be supported by Internet of Things (IoT), wireless sensor networks, as well as 5G, and beyond.
This book presents the possible problems and solutions, the network integration of the UAV and compare the communication technologies to be used.
This book will be a collection of original contributions regarding state of the art AI/ML based solutions in UAV communication networks which can be used for routing protocol design, transport layer optimization, user/application behaviour prediction, communicationnetwork optimization, security, and anomaly detection.
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Keywords
Table of contents (16 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence for Unmanned Aerial Vehicles Communication Networks
Editors: Mariya Ouaissa, Inam Ullah Khan, Mariyam Ouaissa, Zakaria Boulouard, Syed Bilal Hussain Shah
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-97113-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-97112-0Published: 30 March 2022
Softcover ISBN: 978-3-030-97115-1Published: 31 March 2023
eBook ISBN: 978-3-030-97113-7Published: 29 March 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 289
Number of Illustrations: 14 b/w illustrations, 94 illustrations in colour
Topics: Computational Intelligence, Control, Robotics, Mechatronics, Artificial Intelligence