{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T17:02:45Z","timestamp":1785344565900,"version":"3.55.0"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"European Unions Horizon 2020 Research and Innovation Program","award":["101016509"],"award-info":[{"award-number":["101016509"]}]},{"name":"European Unions Horizon 2020 Research and Innovation Program","award":["871793"],"award-info":[{"award-number":["871793"]}]},{"name":"Academy of Finland 6Genesis project","award":["318927"],"award-info":[{"award-number":["318927"]}]},{"name":"Academy of Finland IDEA-MILL Project","award":["352428"],"award-info":[{"award-number":["352428"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1109\/tii.2022.3222314","type":"journal-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T20:42:09Z","timestamp":1668544929000},"page":"8806-8816","source":"Crossref","is-referenced-by-count":53,"title":["Deep Reinforcement Learning-Based Deterministic Routing and Scheduling for Mixed-Criticality Flows"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3522-3426","authenticated-orcid":false,"given":"Hao","family":"Yu","sequence":"first","affiliation":[{"name":"Center of Wireless Communications, The University of Oulu, Oulu, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarik","family":"Taleb","sequence":"additional","affiliation":[{"name":"Center of Wireless Communications, The University of Oulu, Oulu, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1377-7938","authenticated-orcid":false,"given":"Jiawei","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685656"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3151431"},{"key":"ref23","first-page":"61375","article-title":"Electronic railway equipment–train communication network (TCN)–part 3-4 (s): Ethernet consist network (ECN)","author":"commission","year":"2014","journal-title":"Int Electrotechnical Commission"},{"key":"ref15","article-title":"Segment routing (SR) based bounded latency","author":"chen","year":"2018"},{"key":"ref14","year":"2017","journal-title":"Ieee standard for local and metropolitan area networks–bridges and bridged networks–amendment 29 Cyclic queuing and forwarding"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3127718"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11798"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/RTCSA.2018.00025"},{"key":"ref21","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685927"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MIE.2017.2649104"},{"key":"ref17","author":"buttazzo","year":"2005","journal-title":"Real-Time Systems and Software"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3015037.3015042"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.17487\/rfc6824"},{"key":"ref8","first-page":"1","article-title":"Window-based schedule synthesis for industrial IEEE 802.1 Qbv TSN networks","author":"reusch","year":"0","journal-title":"Proc IEEE 16th Int Conf Factory Commun Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT45562.2020.9067122"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops50388.2021.9473511"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2865760"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.10.016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN52240.2021.9522239"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3314206.3314208"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/10183640\/09950700.pdf?arnumber=9950700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:39:10Z","timestamp":1691433550000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9950700\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":23,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tii.2022.3222314","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}