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Messenger J L, Time-Sensitive Networking: An Introduction [J]. IEEE Communications Standards Magazine, 2018, 2(2): 2933. DOI:10.1109/MCOMSTD. 2018.1700047.MessengerJ LTime-Sensitive Networking: An Introduction [J]. , 2018, 2(2): 2933. DOI:10.1109/MCOMSTD.2018.1700047.Open DOISearch in Google Scholar
Farzaneh M H, Kugele S, Knoll A. A graphical modeling tool supporting automated schedule synthesis for time-sensitive networking [C]. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2017: 1–8.FarzanehM HKugeleSKnollA.A graphical modeling tool supporting automated schedule synthesis for time-sensitive networking [C]. In: , 2017: 1–8.Search in Google Scholar
Oliver R S, Craciunas S S, Steiner W. IEEE 802.1Qbv Gate Control List Synthesis using Array Theory Encoding [C]//IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2018. DOI:10.1109/RTAS.2018.00008.OliverR SCraciunasS SSteinerW.. IEEE, 2018. DOI:10.1109/RTAS.2018.00008.Open DOISearch in Google Scholar
Pahlevan M, Obermaisser R. Genetic Algorithm for Scheduling Time-Triggered Traffic in Time-Sensitive Networks[C]//2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation. IEEE, 2018. DOI:10.1109/ETFA.2018.8502515.PahlevanMObermaisserR.Genetic Algorithm for Scheduling Time-Triggered Traffic in Time-Sensitive Networks[C]//. IEEE, 2018. DOI:10.1109/ETFA.2018.8502515.Open DOISearch in Google Scholar
Gavrilut V, Pop P. Scheduling in time sensitive networks (TSN) for mixed-criticality industrial applications [C]//14 Th IEEE International Workshop on Factory Communication Systems. IEEE, 2018:1–4. DOI:10.1109/WFCS.2018.8402374.GavrilutVPopP.Scheduling in time sensitive networks (TSN) for mixed-criticality industrial applications [C]//. IEEE, 2018:1–4. DOI:10.1109/WFCS.2018.8402374.Open DOISearch in Google Scholar
Santos A C T D, Schneider B, Nigam V, TSNSCHED: Automated Schedule Generation for Time Sensitive Networking[C]//2019 Formal Methods in Computer Aided Design (FMCAD). 2019. DOI:10.23919/FMCAD.2019.8894249.SantosA C T DSchneiderBNigamVTSNSCHED: Automated Schedule Generation for Time Sensitive Networking[C]//. 2019. DOI:10.23919/FMCAD.2019.8894249.Open DOISearch in Google Scholar
Bello L L, Steiner W. A perspective on IEEE time-sensitive networking for industrial communication and automation systems [J]. Proceedings of the IEEE, 2019, 107(6): 1094–1120.BelloL LSteinerW.A perspective on IEEE time-sensitive networking for industrial communication and automation systems [J]. , 2019, 107(6): 1094–1120.Search in Google Scholar
Mai T L, Navet N, Migge J. A hybrid machine learning and schedulability analysis method for the verification of TSN networks [C]. In: 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS), 2019: 1–8.MaiT LNavetNMiggeJ.A hybrid machine learning and schedulability analysis method for the verification of TSN networks [C]. In: , 2019: 1–8.Search in Google Scholar
Zhong C, Jia H, Wan H, et al. DRLS: A Deep Reinforcement Learning Based Scheduler for Time-Triggered Ethernet[C]//2021 International Conference on Computer Communications and Networks (ICCCN). IEEE, 2021: 1–11.ZhongCJiaHWanHDRLS: A Deep Reinforcement Learning Based Scheduler for Time-Triggered Ethernet[C]//. IEEE, 2021: 1–11.Search in Google Scholar
Jia H, Jiang Y, Zhong C, et al. TTDeep: Time-Triggered Scheduling for Real-Time Ethernet via Deep Reinforcement Learning [C]. In: 2021 IEEE Global Communications Conference (GLOBECOM), 2021: 1–6.JiaHJiangYZhongCTTDeep: Time-Triggered Scheduling for Real-Time Ethernet via Deep Reinforcement Learning [C]. In: , 2021: 16.Search in Google Scholar
Jin X, Xia C, Guan N. Real-time Scheduling of Massive Data in Time Sensitive Networks with a Limited Number of Schedule Entries [J]. IEEE Access, 2020, PP (99): 1–1. DOI:10.1109/ACCESS.2020.2964690.JinXXiaCGuanN.Real-time Scheduling of Massive Data in Time Sensitive Networks with a Limited Number of Schedule Entries [J]. , 2020, PP (99): 1–1. DOI:10.1109/ACCESS.2020.2964690.Open DOISearch in Google Scholar
Bujosa D, Ashjaei M, Papadopoulos A V, et al. HERMES: Heuristic multi-queue scheduler for TSN time-triggered traffic with zero reception jitter capabilities [C]. In: Proceedings of the 30th International Conference on Real-Time Networks and Systems, 2022: 70–80.BujosaDAshjaeiMPapadopoulosA VHERMES: Heuristic multi-queue scheduler for TSN time-triggered traffic with zero reception jitter capabilities [C]. In: , 2022: 70–80.Search in Google Scholar
Li C, Zhang C, Zheng W. Joint Routing and Scheduling for Dynamic Applications in Multicast Time-Sensitive Networks [C]//IEEE International Conference on Communications Workshops. IEEE, 2021. DOI:10.1109/ICCWorkshops50388.2021.9473540.LiCZhangCZhengW.Joint Routing and Scheduling for Dynamic Applications in Multicast Time-Sensitive Networks [C]//. IEEE, 2021. DOI:10.1109/ICCWorkshops50388.2021.9473540.Open DOISearch in Google Scholar
Nasrallah A, Thyagaturu A S, Alharbi Z, et al. Ultra-low latency (ULL) networks: The IEEE TSN and IETF DetNet standards and related 5G ULL research [J]. IEEE Communications Surveys & Tutorials, 2018, 21(1): 88–145.NasrallahAThyagaturuA SAlharbiZUltra-low latency (ULL) networks: The IEEE TSN and IETF DetNet standards and related 5G ULL research [J]. , 2018, 21(1): 88–145.Search in Google Scholar
Reusch N, Zhao L, Craciunas S S, et al. Window-Based Schedule Synthesis for Industrial IEEE 802.1Qbv TSN Networks [C]// 2020 16th IEEE International Conference on Factory Communication Systems (WFCS). IEEE, 2020.ReuschNZhaoLCraciunasS SWindow-Based Schedule Synthesis for Industrial IEEE 802.1Qbv TSN Networks [C]// . IEEE, 2020.Search in Google Scholar