Computational Intelligence for Unmanned Aerial Vehicles Communication Networks

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.

Sommario

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.- 

Dettagli sul prodotto

• Con la collaborazione di: Zakaria Boulouard (Editore), Syed Bilal Hussain Shah (Editore), Inam Ullah Khan (Editore), Mariya Ouaissa (Editore), Mariyam Ouaissa (Editore), Mariyam Ouaissa et al (Editore), Inam Ullah Khan (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.03.2023
• EAN: 9783030971151
• ISBN: 978-3-0-3097115-1
• Pagine: 289
• Dimensioni: 155 mm x 16 mm x 235 mm
• Illustrazioni: XI, 289 p. 108 illus., 94 illus. in color.
• Serie: Studies in Computational Intelligence
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie