https://scholars.lib.ntu.edu.tw/handle/123456789/581282
Title: | Online Stream-Aware Routing for TSN-Based Industrial Control Systems | Authors: | Chuang C.-C Yu T.-H CHUNG-WEI LIN AI-CHUN PANG Hsieh T.-J. |
Keywords: | Ant colony optimization; Computational efficiency; Dynamic models; Factory automation; Online systems; Ant Colony Optimization (ACO); Critical applications; Dynamic re-configuration; Industrial automation; Industrial control systems; Off-line algorithm; Online routing problems; Research problems; IEEE Standards | Issue Date: | 2020 | Journal Volume: | 2020-September | Start page/Pages: | 254-261 | Source: | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA | Abstract: | In the past decades, the evolution of Industrial Inter-net of Things (IIoT) and Industry 4.0 faces several challenges, and one of them is the proprietary network which causes a rising cost due to the interoperability, compatibility, and strict requirements. To deal with the challenge, industry advocates an open Ethernet-based standard under the IEEE 802.1 family, named Time-Sensitive Networking (TSN), to support real-time and critical applications, where the routing with TSN is still an open and ongoing research problem. Although there are some existing routing approaches, they are offline algorithms and thus not suitable for future industrial automation that needs to support dynamic reconfiguration. Also, they consider either only TSN traffic or only AVB traffic to determine the routing paths, which limits the overall solution space and fails to make the best use of TSN features. To address the issues above, we aim to explore an online routing problem considering both TSN and AVB traffic in a TSN network. It is very first to investigate the online routing problem considering both TSN and AVB traffic. We propose an Ant Colony Optimization (ACO) based approach with a low time complexity to solve the problem. Experimental results show that the proposed algorithm outperforms a well-known solution in terms of the schedulability, performance, number of rerouted streams, and computational efficiency. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093363082&doi=10.1109%2fETFA46521.2020.9211969&partnerID=40&md5=fab5314e08e4c276544e94ca847e8365 https://scholars.lib.ntu.edu.tw/handle/123456789/581282 |
ISSN: | 19460740 | DOI: | 10.1109/ETFA46521.2020.9211969 |
Appears in Collections: | 資訊工程學系 |
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