Raza, Mohsin, Hussain, Sajjad, Aslam, Nauman, Le-Minh, Hoa and Nguyen, Huan X. (2019) Industrial wireless sensor networks and 5G connected industries. In: Enabling 5G Communication Systems to Support Vertical Industries. Wiley, pp. 23-40. ISBN 9781119515531
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This chapter provides a detailed discussion of industrial revolutions, technology improvements, industrial processes and control requirements. Numerous researches divide communications traffic in industries into various classes. This classification depends on the underlying process, equipment and type of operation performed. The traffic in industries is categorized into four groups: safety/emergency traffic, critical control traffic, low-risk control traffic, and periodic monitoring traffic. The chapter lists these traffic types and their main attributes. It also discusses novel schemes to optimize communications within industrial processes to ensure desired time deadlines and reliability constraints. The chapter further summarizes the role of 5G technologies in ensuring the future of modern day industries. It presents a hybrid multi-channel scheme for performance and throughput enhancement of industrial wireless sensor networks (IWSNs). The scheme utilizes multiple frequency channels to increase the overall throughput of the system along with the increase in reliability. Use of multiple channels allows ultra-reliable low-latency communications in IWSNs.
Item Type: | Book Section |
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Additional Information: | Publisher Copyright: © 2019 John Wiley & Sons Ltd. All rights reserved. |
Uncontrolled Keywords: | 5g connected industries,communications traffic,hybrid multi-channel scheme,industrial revolutions,industrial wireless sensor networks,time deadlines,ultra-reliable low-latency communications,engineering(all),computer science(all) ,/dk/atira/pure/subjectarea/asjc/2200 |
Faculty \ School: | Faculty of Science > School of Computing Sciences |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 16 Jun 2025 10:31 |
Last Modified: | 16 Jun 2025 10:31 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/99552 |
DOI: | 10.1002/9781119515579.ch2 |
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