| Description |
1 online resource (1 volume) : illustrations (black and white, and color) |
| Series |
Studies in computational intelligence ; volume 1033 |
|
Studies in computational intelligence ; v. 1033.
|
| Contents |
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 |
| Summary |
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 |
| Notes |
Print version record |
| Subject |
Computational intelligence.
|
|
Drone aircraft -- Computer networks
|
|
Drone aircraft -- Control systems.
|
|
Computational intelligence
|
|
Drone aircraft -- Control systems
|
| Form |
Electronic book
|
| Author |
Ouaissa, Mariya, editor
|
|
Khan, Inam Ullah, editor
|
|
Ouaissa, Mariyam, editor
|
|
Boulouard, Zakaria, editor
|
|
Hussain Shah, Syed Bilal, editor
|
| ISBN |
9783030971137 |
|
3030971139 |
|
