Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet

Abstract OPC UA PubSub Over TSN is the core of the Industrial Internet and guarantees flexible interaction features for multiple parties in real-time for industrial communication. To achieve the transmission of time-triggered traffic in PubSub NetworkMessage, routing and scheduling data need to be a...

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Autores principales:	Yan Song, Chenyang Guo, Panfeng Xu, Lina Li, Rui Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f346b70cde62475d8117ee183f09770f
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spelling	oai:doaj.org-article:f346b70cde62475d8117ee183f09770f2021-12-02T17:23:39ZResearch on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet10.1038/s41598-021-97613-92045-2322https://doaj.org/article/f346b70cde62475d8117ee183f09770f2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97613-9https://doaj.org/toc/2045-2322Abstract OPC UA PubSub Over TSN is the core of the Industrial Internet and guarantees flexible interaction features for multiple parties in real-time for industrial communication. To achieve the transmission of time-triggered traffic in PubSub NetworkMessage, routing and scheduling data need to be analyzed. Traditional routing and scheduling methods have disadvantages such as low calculation efficiency, slow convergence speed, and poor reliability. Therefore, a routing and scheduling method for OPC UA PubSub NetworkMessage time-triggered traffic based on an improved ant colony algorithm is proposed. First, we analyze the network topology model, traffic model, and traffic transmission constraints of TSN; then, we apply the K-means clustering algorithm, the KSP algorithm based on the shortest path idea, and an improved ant colony algorithm for traffic classification, routing, and scheduling calculation. Experimental results show that this method can effectively reduce the delay increase caused by link congestion, improve the ability to schedule time-triggered traffic, and accelerate the convergence rate of iteration.Yan SongChenyang GuoPanfeng XuLina LiRui ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yan Song Chenyang Guo Panfeng Xu Lina Li Rui Zhang Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet
description	Abstract OPC UA PubSub Over TSN is the core of the Industrial Internet and guarantees flexible interaction features for multiple parties in real-time for industrial communication. To achieve the transmission of time-triggered traffic in PubSub NetworkMessage, routing and scheduling data need to be analyzed. Traditional routing and scheduling methods have disadvantages such as low calculation efficiency, slow convergence speed, and poor reliability. Therefore, a routing and scheduling method for OPC UA PubSub NetworkMessage time-triggered traffic based on an improved ant colony algorithm is proposed. First, we analyze the network topology model, traffic model, and traffic transmission constraints of TSN; then, we apply the K-means clustering algorithm, the KSP algorithm based on the shortest path idea, and an improved ant colony algorithm for traffic classification, routing, and scheduling calculation. Experimental results show that this method can effectively reduce the delay increase caused by link congestion, improve the ability to schedule time-triggered traffic, and accelerate the convergence rate of iteration.
format	article
author	Yan Song Chenyang Guo Panfeng Xu Lina Li Rui Zhang
author_facet	Yan Song Chenyang Guo Panfeng Xu Lina Li Rui Zhang
author_sort	Yan Song
title	Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet
title_short	Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet
title_full	Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet
title_fullStr	Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet
title_full_unstemmed	Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet
title_sort	research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f346b70cde62475d8117ee183f09770f
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Research on routing and scheduling algorithms for the simultaneous transmission of diverse data streaming services on the industrial internet

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