Computational intelligence for unmanned aerial vehicles communication networks / Mariya Ouaissa, Inam Ullah Khan, Mariyam Ouaissa, Zakaria Boulouard, Syed Bilal Hussain Shah, editors.
2022
Q342
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Details
Title
Computational intelligence for unmanned aerial vehicles communication networks / Mariya Ouaissa, Inam Ullah Khan, Mariyam Ouaissa, Zakaria Boulouard, Syed Bilal Hussain Shah, editors.
ISBN
9783030971137 (electronic bk.)
3030971139 (electronic bk.)
9783030971120 (print)
3030971120
3030971139 (electronic bk.)
9783030971120 (print)
3030971120
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (1 volume) : illustrations (black and white, and color).
Item Number
10.1007/978-3-030-97113-7 doi
Call Number
Q342
Dewey Decimal Classification
006.3
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.
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Source of Description
Description based on print version record.
Added Author
Series
Studies in computational intelligence ; v. 1033.
Available in Other Form
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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.
Machine Learning Techniques for UAV Trajectory Optimization: A Survey.