Computational Intelligence for Unmanned Aerial Vehicles Communication Networks -

Computational Intelligence for Unmanned Aerial Vehicles Communication Networks

Buch | Hardcover
XI, 289 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-97112-0 (ISBN)
192,59 inkl. MwSt
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.

Machine Learning and AI Approach to Improve UAV Communication and Networking- Implementation of Machine Learning Techniques in Unmanned Aerial Vehicle Control and its Various Applications.- Machine Learning Techniques for UAV Trajectory Optimization: A Survey.- 


Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XI, 289 p. 108 illus., 94 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 613 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte Artificial Intelligence • Computational Intelligence • data analytics • drones • Intelligent Systems • internet of things • smart cities • unmanned aerial vehicle
ISBN-10 3-030-97112-0 / 3030971120
ISBN-13 978-3-030-97112-0 / 9783030971120
Zustand Neuware
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