Low reliable and low latency communications for mission critical distributed industrial Internet of Things

Yu, D., Li, W., Xu, H. and Zhang, L. (2021) Low reliable and low latency communications for mission critical distributed industrial Internet of Things. IEEE Communications Letters, 25(1), pp. 313-317. (doi: 10.1109/LCOMM.2020.3021367)

[img] Text
222862.pdf - Published Version
Available under License Creative Commons Attribution.



Achieving ubiquitous ultra-reliable low latency consensus in centralized wireless communication systems can be costly and hard to scale up. The consensus mechanism, which has been widely utilized in distributed systems, can provide fault tolerance to the critical consensus, even though the individual communication link reliability is relatively low. In this paper, a widely used consensus mechanism, Raft, is introduced to the Industrial Internet of Things (IIoT) to achieve ultra-reliable and low latency consensus, where the consensus reliability performance in terms of nodes number and link transmission reliability is investigated. We propose a new concept, Reliability Gain, to show the linear relationship between consensus reliability and communication link transmission reliability. We also find that the time latency of consensus is contradictory to consensus reliability. These conclusions can provide guides to deploy Raft protocol in distributed IIoT systems.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Zhang, Professor Lei and Yu, Dachao and Xu, Mr Hao
Authors: Yu, D., Li, W., Xu, H., and Zhang, L.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Communications Letters
ISSN (Online):1558-2558
Published Online:02 September 2020
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in IEEE Communications Letters 25(1): 313-317
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304481Resource Orchestration for Diverse Radio SystemsLei ZhangEngineering and Physical Sciences Research Council (EPSRC)EP/S02476X/1ENG - Systems Power & Energy