Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4 PDF Download
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Author: Kohei Arai
Publisher: Springer Nature
ISBN: 303173128X
Category :
Languages : en
Pages : 655
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Book Description
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 303173128X
Category :
Languages : en
Pages : 655
Get Book Here
Book Description
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031731220
Category :
Languages : en
Pages : 678
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Book Description
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031731107
Category :
Languages : en
Pages : 650
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Book Description
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031731255
Category :
Languages : en
Pages : 726
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Book Description
Author: Xin-She Yang
Publisher: Springer Nature
ISBN: 9819735629
Category :
Languages : en
Pages : 656
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Book Description
Author: Norbert A. Streitz
Publisher: Springer Nature
ISBN: 3031600126
Category :
Languages : en
Pages : 473
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Book Description
Author: S. Manoharan
Publisher: Springer Nature
ISBN: 3031614755
Category :
Languages : en
Pages : 523
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Book Description
Author: Matthias Thürer
Publisher: Springer Nature
ISBN: 303171637X
Category :
Languages : en
Pages : 509
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Book Description
Author: Mykola Nechyporuk
Publisher: Springer Nature
ISBN: 3031614151
Category :
Languages : en
Pages : 641
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Book Description
Author: Mariyam Ouaissa
Publisher: CRC Press
ISBN: 1040005772
Category : Technology & Engineering
Languages : en
Pages : 243
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Book Description
This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle. This book recognizes that LPWANs don't operate in isolation; they are intimately intertwined with Artificial Intelligence and Machine Learning (AI/ML) technologies, which play a pivotal role in optimizing LPWAN performance and capabilities. The book is a collection of original contributions regarding air interface, transmission technologies and novel network architectures, such as network slicing, cloud/fog/edge computing, ad hoc networks and software-defined network. Also, this book provides a guide for researchers of IoT applications to choose suitable LPWAN technologies and describe the design aspects, network architectures, security issues and challenges. Features: Explains machine learning algorithms onto low-power wide area network sensors for compressed communications. Illustrates wireless-based Internet of Things networks using low-power wide area networks technology for quality air. Presents cognitive Internet of Things networks using wireless communication, and low-power wide area network technologies for Ad Hoc networks. Discusses a comprehensive study of low-power wide area networks for flying Ad Hoc networks. Showcases the study of energy efficient techniques aided by low-power wide area network technologies for the Internet of Things networks. The text is aimed at senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
