Wireless networks and industrial IoT : applications, challenges and enablers / Nurul Huda Mahmood, Nikolaj Marchenko, Mikael Gidlund, Petar Popovski, editors.
2021
TK5103.2
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Details
Title
Wireless networks and industrial IoT : applications, challenges and enablers / Nurul Huda Mahmood, Nikolaj Marchenko, Mikael Gidlund, Petar Popovski, editors.
ISBN
9783030514730 (electronic bk.)
3030514730 (electronic bk.)
9783030514723
3030514730 (electronic bk.)
9783030514723
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (xvi, 296 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-51473-0 doi
Call Number
TK5103.2
Dewey Decimal Classification
621.384
Summary
This book provides a comprehensive overview of the most relevant research and standardization results in the area of wireless networking for Industrial IoT, covering both critical and massive connectivity. Most chapters in this book are intended to serve as short tutorials of particular topics, highlighting the main developments and ideas, as well as giving an outlook of the upcoming research challenges. The book is divided into four parts. The first part focuses on challenges, enablers and standardization efforts for reliable low-latency communication in Industrial IoT networks. The next part focuses on massive IoT, which requires cost- and energy-efficient technology components to efficiently connect a massive number of low-cost IoT devices. The third part covers three enabling technologies in the context of Industrial IoT: Security, Machine Learning/Artificial Intelligence and Edge Computing. These enablers are applicable to both connectivity types, critical and massive IoT. The last part covers aspects of Industrial IoT related to connected transportation that are important in, for example, warehouse and port logistics, product delivery and transportation among industries. Presents a comprehensive guide to concepts and research challenges in wireless networking for Industrial IoT; Includes an introduction and overview of such topics as 3GPP standardization for Industrial IoT, Time Sensitive Networking, system dependability over wireless networks, energy-efficient wireless networks, IoT security, ML/AI for Industrial IoT and connected transportation systems; Features contributions by well-recognized experts from both academia and industry.
Note
Includes index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Added Author
Mahmood, Nurul Huda, editor.
Marchenko, Nikolaj, editor.
Gidlund, Mikael, editor.
Popovski, Petar, 1973- editor.
Marchenko, Nikolaj, editor.
Gidlund, Mikael, editor.
Popovski, Petar, 1973- editor.
Available in Other Form
3030514722
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Online Access
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Online Resources > Ebooks
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Table of Contents
Introduction
Categorization of IoT, main KPIs
Part I: Wireless IoT Systems
Intelligent Transport System
Wireless Isochronous Real Time networks/Industrial control networks
Unmanned Aerial Vehicle Networks
Part II: IoT communication
Traffic modelling and measurement framework for IoT
Random access for IoT
Part III: Technologies for Massive IoT
Massive IIoT LPWAN systems
Energy efficient massive IoT
Data centric solutions for IioT
Part IV: Technologies for Critical and Broadband IoT
Approaches for improved reliability in Industrial environment
Application of Multi-Access Edge Computing in Industry 4.0
Security challenges in critical IoT
Machine Learning/AI as IoT enablers
Channel models in industrial scenarios
Time Sensitive Networking for wireless industrial control networks
Network Slicing for IIoT
Conclusion.
Categorization of IoT, main KPIs
Part I: Wireless IoT Systems
Intelligent Transport System
Wireless Isochronous Real Time networks/Industrial control networks
Unmanned Aerial Vehicle Networks
Part II: IoT communication
Traffic modelling and measurement framework for IoT
Random access for IoT
Part III: Technologies for Massive IoT
Massive IIoT LPWAN systems
Energy efficient massive IoT
Data centric solutions for IioT
Part IV: Technologies for Critical and Broadband IoT
Approaches for improved reliability in Industrial environment
Application of Multi-Access Edge Computing in Industry 4.0
Security challenges in critical IoT
Machine Learning/AI as IoT enablers
Channel models in industrial scenarios
Time Sensitive Networking for wireless industrial control networks
Network Slicing for IIoT
Conclusion.