Asynchronous Time-Sensitive Networking for Industrial Networks Prados Garzón, Jonathan Chinchilla Romero, Lorena Ameigeiras Gutiérrez, Pablo José Muñoz Luengo, Pablo López Soler, Juan Manuel Time-Sensitive Networking (TSN) is expected to be a cornerstone in tomorrow’s industrial networks. That is because of its ability to provide deterministic quality-of-service in terms of delay, jitter, and scalability. Moreover, it enables more scalable, more affordable, and easier to manage and operate networks compared to current industrial networks, which are based on Industrial Ethernet. In this article, we evaluate the maximum capacity of the asynchronous TSN networks to accommodate industrial traffic flows. To that end, we formally formulate the flow allocation problem in the mentioned networks as a convex mixed-integer non-linear program. To the best of the authors’ knowledge, neither the maximum utilization of the asynchronous TSN networks nor the formulation of the flow allocation problem in those networks have been previously addressed in the literature. The results show that the network topology and the traffic matrix highly impact on the link utilization. 2021-06-30T10:53:25Z 2021-06-30T10:53:25Z 2021 conference output Jonathan Prados-Garzon, Lorena Chinchilla-Romero, Pablo Ameigeiras, Pablo Muñoz, and Juan M. Lopez-Soler: "Asynchronous Time-Sensitive Networking for Industrial Networks" IEEE European Conference on Networks and Communications (EuCNC), 2021 http://hdl.handle.net/10481/69446 eng This work has been partially funded by the H2020 research and innovation project 5G-CLARITY (Grant No. 871428), national research project TRUE5G: PID2019-108713RB-C53 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ open access Atribución-NoComercial-SinDerivadas 3.0 España Institute of Electrical and Electronics Engineers (IEEE)