T�tulo: Computational Intelligence for Unmanned Aerial Vehicles Communication Networks
Editor: Springer Nature
Fecha de publicaci�n: 2023
Idioma: Ingl�s
ISBN 10: 3030971155
ISBN 13: 9783030971151
Encuadernaci�n: Paperback
Estado: Brand New
Peso: 0,43 kilogramos

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Sinopsis

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.

De la contraportada

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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Edward Bowditch Ltd
Exstowe, Exton, Exeter, EX3 0PP, United Kingdom

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Legal entity name: Edward Bowditch Ltd
Legal entity form: Limited company
Business correspondence address: Exstowe, Exton, Exeter, EX3 0PP
Company registration number: 04916632
VAT registration: GB834241546
Authorised representative: Mr. E. Bowditch

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