Computational Intelligence for Unmanned Aerial Vehicles Communication Networks
Editat de Mariya Ouaissa, Inam Ullah Khan, Mariyam Ouaissa, Zakaria Boulouard, Syed Bilal Hussain Shahen Limba Engleză Hardback – 30 mar 2022
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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 1114.35 lei 6-8 săpt. | |
| Springer – 31 mar 2023 | 1114.35 lei 6-8 săpt. | |
| Hardback (1) | 1119.91 lei 6-8 săpt. | |
| Springer – 30 mar 2022 | 1119.91 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030971120
ISBN-10: 3030971120
Pagini: 304
Ilustrații: XI, 289 p. 108 illus., 94 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.62 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030971120
Pagini: 304
Ilustrații: XI, 289 p. 108 illus., 94 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.62 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
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.-
Textul de pe ultima copertă
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.
Caracteristici
Combines AI and communication networks to establish flexible UAV communication networks Focuses on possible applications of Unmanned Aerial Vehicles in a Smart City environment Recent research on Computational Intelligence for Unmanned Aerial Vehicles Communication Networks