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Simulating TSN Traffic Scheduling and Shaping For Future Automotive Ethernet

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dc.contributor.authorZhou, Zifan-
dc.contributor.authorLee, Juho-
dc.contributor.authorBerger, Michael Stuebert-
dc.contributor.authorPark, Sungkwon-
dc.contributor.authorYan, Ying-
dc.date.accessioned2021-07-30T04:48:18Z-
dc.date.available2021-07-30T04:48:18Z-
dc.date.created2021-07-14-
dc.date.issued2021-02-
dc.identifier.issn1229-2370-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1392-
dc.description.abstractThe broadening range of applications for vehicles has motivated the evolution of the automotive communication network. Ethernet has been deployed in production vehicles to build invehicle networks (IVN) by main manufacturers. To extent Ethernet with real-time service for future E/E architecture, a time-sensitive networking (TSN) profile for automotive Ethernet has been created. This paper evaluates the implementation of multiple traffic scheduling and shaping mechanisms in the automotive Ethernet, respectively. And we especially focus on two solutions, namely the time-aware shaping (TAS) and asynchronous traffic shaping (ATS). To investigate the performance, we introduce a TSN-based automotive gateway testing model in a simulation environment. Furthermore, another two methods, i.e., strict-priority and credit-based shaper (CBS), as well as TAS and ATS are implemented in the model and tested within a domain-based IVN scenario. The results show that TAS guarantees the shortest worst-case latency of high-priority streams, whereas it has a longer transmission latency for low-priority streams. ATS provides less determinism for high-priority streams than TAS, but ensures a better average latency of all streams.-
dc.language영어-
dc.language.isoen-
dc.publisherKOREAN INST COMMUNICATIONS SCIENCES (K I C S)-
dc.titleSimulating TSN Traffic Scheduling and Shaping For Future Automotive Ethernet-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Sungkwon-
dc.identifier.doi10.23919/JCN.2021.000001-
dc.identifier.scopusid2-s2.0-85113843843-
dc.identifier.wosid000646729900006-
dc.identifier.bibliographicCitationJOURNAL OF COMMUNICATIONS AND NETWORKS, v.23, no.1, pp.53 - 62-
dc.relation.isPartOfJOURNAL OF COMMUNICATIONS AND NETWORKS-
dc.citation.titleJOURNAL OF COMMUNICATIONS AND NETWORKS-
dc.citation.volume23-
dc.citation.number1-
dc.citation.startPage53-
dc.citation.endPage62-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART002692032-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusAutomobile manufacture-
dc.subject.keywordPlusGateways (computer networks)-
dc.subject.keywordPlusInformation services-
dc.subject.keywordPlusScheduling-
dc.subject.keywordPlusVehicles-
dc.subject.keywordPlusIn-vehicle networks-
dc.subject.keywordPlusMultiple traffics-
dc.subject.keywordPlusProduction vehicles-
dc.subject.keywordPlusReal time service-
dc.subject.keywordPlusShaping mechanisms-
dc.subject.keywordPlusSimulation environment-
dc.subject.keywordPlusTraffic scheduling-
dc.subject.keywordPlusWorst-case latencies-
dc.subject.keywordPlusEthernet-
dc.subject.keywordAuthorAutomotive electronics-
dc.subject.keywordAuthorEthernet networks-
dc.subject.keywordAuthorscheduling algorithms-
dc.subject.keywordAuthorsimulation-
dc.subject.keywordAuthortime-sensitive networking-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9377694-
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