Computational Intelligence for Unmanned Aerial Vehicles Communication Networks

Author:   Mariya Ouaissa ,  Inam Ullah Khan ,  Mariyam Ouaissa ,  Zakaria Boulouard
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   1033
ISBN:  

9783030971151


Pages:   289
Publication Date:   31 March 2023
Format:   Paperback
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.

Full Product Details

Author:   Mariya Ouaissa ,  Inam Ullah Khan ,  Mariyam Ouaissa ,  Zakaria Boulouard
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   1033
Weight:   0.468kg
ISBN:  

9783030971151


ISBN 10:   3030971155
Pages:   289
Publication Date:   31 March 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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.- 

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