An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment

The Industrial Internet of things (IIoT), the implementation of IoT in the industrial sector, requires a deterministic, real-time, and low-latency communication response for its time-critical applications. A delayed response in such applications could be life-threatening or result in significant los...

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Autores principales:	Kahiomba Sonia Kiangala, Zenghui Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Industrial Internet of Things (IIoT) time-critical applications edge computing time-sensitive networking (TSN) zero-loss redundancy protocols Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/e5618403364b43b3bae2f245af283029
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spelling	oai:doaj.org-article:e5618403364b43b3bae2f245af2830292021-11-25T18:52:12ZAn Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment10.3390/pr91120842227-9717https://doaj.org/article/e5618403364b43b3bae2f245af2830292021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/2084https://doaj.org/toc/2227-9717The Industrial Internet of things (IIoT), the implementation of IoT in the industrial sector, requires a deterministic, real-time, and low-latency communication response for its time-critical applications. A delayed response in such applications could be life-threatening or result in significant losses for manufacturing plants. Although several measures in the likes of predictive maintenance are being put in place to prevent errors and guarantee high network availability, unforeseen failures of physical components are almost inevitable. Our research contribution is to design an efficient communication prototype, entirely based on internet protocol (IP) that combines state-of-the-art communication computing technologies principles to deliver a more stable industrial communication network. We use time-sensitive networking (TSN) and edge computing to increase the determinism of IIoT networks, and we reduce latency with zero-loss redundancy protocols that ensure the sustainability of IIoT networks with smooth recovery in case of unplanned outages. Combining these technologies altogether brings more effectiveness to communication networks than implementing standalone systems. Our study results develop two experimental IP-based industrial network communication prototypes in an intra-domain transmission scenario: the first one is based on the parallel zero-loss redundancy protocol (PRP) and the second one using the high-availability seamless zero-loss redundancy protocol (HSR). We also highlight the benefits of utilizing our communication prototypes to build robust industrial IP communication networks with high network availability and low latency as opposed to conventional communication networks running on seldom redundancy protocols such as Media Redundancy Protocol (MRP) or Rapid Spanning Tree Protocol (RSTP) with single-point of failure and delayed recovery time. While our two network communication prototypes—HSR and PRP—offer zero-loss recovery time in case of a single network failure, our PRP communication prototype goes a step further by providing an effective redundancy scheme against multiple link failures.Kahiomba Sonia KiangalaZenghui WangMDPI AGarticleIndustrial Internet of Things (IIoT)time-critical applicationsedge computingtime-sensitive networking (TSN)zero-loss redundancy protocolsChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 2084, p 2084 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industrial Internet of Things (IIoT) time-critical applications edge computing time-sensitive networking (TSN) zero-loss redundancy protocols Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	Industrial Internet of Things (IIoT) time-critical applications edge computing time-sensitive networking (TSN) zero-loss redundancy protocols Chemical technology TP1-1185 Chemistry QD1-999 Kahiomba Sonia Kiangala Zenghui Wang An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment
description	The Industrial Internet of things (IIoT), the implementation of IoT in the industrial sector, requires a deterministic, real-time, and low-latency communication response for its time-critical applications. A delayed response in such applications could be life-threatening or result in significant losses for manufacturing plants. Although several measures in the likes of predictive maintenance are being put in place to prevent errors and guarantee high network availability, unforeseen failures of physical components are almost inevitable. Our research contribution is to design an efficient communication prototype, entirely based on internet protocol (IP) that combines state-of-the-art communication computing technologies principles to deliver a more stable industrial communication network. We use time-sensitive networking (TSN) and edge computing to increase the determinism of IIoT networks, and we reduce latency with zero-loss redundancy protocols that ensure the sustainability of IIoT networks with smooth recovery in case of unplanned outages. Combining these technologies altogether brings more effectiveness to communication networks than implementing standalone systems. Our study results develop two experimental IP-based industrial network communication prototypes in an intra-domain transmission scenario: the first one is based on the parallel zero-loss redundancy protocol (PRP) and the second one using the high-availability seamless zero-loss redundancy protocol (HSR). We also highlight the benefits of utilizing our communication prototypes to build robust industrial IP communication networks with high network availability and low latency as opposed to conventional communication networks running on seldom redundancy protocols such as Media Redundancy Protocol (MRP) or Rapid Spanning Tree Protocol (RSTP) with single-point of failure and delayed recovery time. While our two network communication prototypes—HSR and PRP—offer zero-loss recovery time in case of a single network failure, our PRP communication prototype goes a step further by providing an effective redundancy scheme against multiple link failures.
format	article
author	Kahiomba Sonia Kiangala Zenghui Wang
author_facet	Kahiomba Sonia Kiangala Zenghui Wang
author_sort	Kahiomba Sonia Kiangala
title	An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment
title_short	An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment
title_full	An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment
title_fullStr	An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment
title_full_unstemmed	An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment
title_sort	effective communication prototype for time-critical iiot manufacturing factories using zero-loss redundancy protocols, time-sensitive networking, and edge-computing in an industry 4.0 environment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e5618403364b43b3bae2f245af283029
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An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment

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