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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.ifacol.2024.07.051</dc:identifier><dc:language>eng</dc:language><dc:creator>Torres-Macías, A.G.</dc:creator><dc:creator>Ramírez-Treviño, A.</dc:creator><dc:creator>Briz, J.L.</dc:creator><dc:creator>Segarra, J.</dc:creator><dc:creator>Blanco-Alcaine, H.</dc:creator><dc:title>Modeling Time-Sensitive Networking Using Timed Continuous Petri Nets</dc:title><dc:identifier>ART-2024-144707</dc:identifier><dc:description>Time-Sensitive Networking (TSN) is a set of standards designed to provide determinism to Ethernet or wireless networks for real-time applications. Network Calculus (NC) is the best-known formal tool for TSN analysis, but it is hard to apply in scenarios of changing conditions. Petri Nets can potentially overcome some limitations of NC, but they have rarely been used as an analytical tool for TSN. This work presents a novel modeling methodology exploiting Timed Continuous Petri Nets (TCPNs) to abstract and analyze TSN nodes.</dc:description><dc:date>2024</dc:date><dc:source>http://zaguan.unizar.es/record/162129</dc:source><dc:doi>10.1016/j.ifacol.2024.07.051</dc:doi><dc:identifier>http://zaguan.unizar.es/record/162129</dc:identifier><dc:identifier>oai:zaguan.unizar.es:162129</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/T58-23R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/PID2019-105660RB-C21</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/PID2022-136454NB-C22</dc:relation><dc:identifier.citation>IFAC PAPERSONLINE 58, 1 (2024), 300-305</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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