Computational Intelligence for Unmanned Aerial Vehicles Communication Networks

Author:   Mariya Ouaissa ,  Inam Ullah Khan ,  Mariyam Ouaissa ,  Zakaria Boulouard
Publisher:   Springer Nature Switzerland AG
Edition:   2022 ed.
Volume:   1033
ISBN:  

9783030971120


Pages:   289
Publication Date:   30 March 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Computational Intelligence for Unmanned Aerial Vehicles Communication Networks


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Overview

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.

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Author:   Mariya Ouaissa ,  Inam Ullah Khan ,  Mariyam Ouaissa ,  Zakaria Boulouard
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2022 ed.
Volume:   1033
Weight:   0.623kg
ISBN:  

9783030971120


ISBN 10:   3030971120
Pages:   289
Publication Date:   30 March 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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