UID:
almahu_9949272440502882
Format:
XI, 289 p. 108 illus., 94 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030971137
Series Statement:
Studies in Computational Intelligence, 1033
Content:
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, communication network optimization, security, and anomaly detection.
Note:
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 -- .
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030971120
Additional Edition:
Printed edition: ISBN 9783030971144
Additional Edition:
Printed edition: ISBN 9783030971151
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-030-97113-7
URL:
https://doi.org/10.1007/978-3-030-97113-7
URL:
Volltext
(URL des Erstveröffentlichers)
