EBook For Low-Power Wide Area Network for Large Scale Internet of Things 1st Edition

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  • ISBN-10 ‏ : ‎ 1032530790
  • ISBN-13 ‏ : ‎ 978-1032530796
  • By Mariyam Ouaissa, Mariya Ouaissa, Inam Ullah Khan
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Description

[eBook] [PDF] For Low-Power Wide Area Network for Large Scale Internet of Things 1st Edition By Mariyam Ouaissa, Mariya Ouaissa, Inam Ullah Kh

Table of Contents

 

  1. Preface
  2. About the editors
  3. Contributors
  4. 1 Low-power wide area network for large-scale IoT: Fundamentals, technologies, and challenges
  5. 2 LPWAN communication-based ML for IoT networks
  6. 3 Machine learning and LPWAN-based internet of things applications
  7. 4 A study on IoT networks and machine learning using low-power wide area networks technology
  8. 5 Ad Hoc aided cellular networks and LPWAN applications: A review
  9. 6 LPWAN technology for demand side management
  10. 7 AI-enabled low-powered wireless area networks for quality air
  11. 8 Review of AI techniques for LPWAN sensors: Enhancing efficiency and intelligence
  12. 9 SDN-based cloud computing secure communication in IoT systems
  13. 10 Big data analytics for 6G-enabled massive internet of things
  14. 11 Healthcare IoT networks using LPWAN
  15. 12 Internet of things-based smart healthcare application using LoRa network
  16. 13 Deep-learning enabled early detection of COVID-19 infection in IoMT fog-cloud healthcare in LPWAN
  17. Index

Description

This book talks about Low Power Wide Area Networks (LPWANs), which are special networks that help devices talk to each other over long distances while using very little power. It explains how these networks work, what problems they help solve, and how they connect with smart technologies like Artificial Intelligence (AI) and Machine Learning (ML) to work even better. The book also shares new ideas about how LPWANs can be used in different ways, like improving wireless networks and making sure devices save energy. It is a helpful guide for people who want to learn how to use LPWANs for Internet of Things (IoT) projects.

Key Features:

  • Explains how machine learning can help LPWAN sensors send messages more efficiently.
  • Shows how LPWANs can be used in networks that help measure air quality.
  • Talks about how LPWANs are used in special networks where devices can connect in a group without fixed places.
  • Looks at how LPWANs can work in flying networks.
  • Discusses ways to save energy while using LPWANs in IoT networks.
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