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Computational intelligence for unman...

Ouaissa, Mariya.

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Computational intelligence for unmanned aerial vehicles communication networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence for unmanned aerial vehicles communication networks/ edited by Mariya Ouaissa ... [et al.].
other author:	Ouaissa, Mariya.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xi, 289 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-97113-7
ISBN:	9783030971137

Computational intelligence for unmanned aerial vehicles communication networks
Computational intelligence for unmanned aerial vehicles communication networks[electronic resource] /edited by Mariya Ouaissa ... [et al.]. - Cham :Springer International Publishing :2022. - xi, 289 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10331860-9503 ;. - Studies in computational intelligence ;v. 1033..

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.

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.

ISBN: 9783030971137

Standard No.: 10.1007/978-3-030-97113-7doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342 / .C65 2022

Dewey Class. No.: 006.3

Computational intelligence for unmanned aerial vehicles communication networks
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505 0 $a 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.
520 $a 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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