Abstract-Time-Sensitive Networking (TSN) standards aim to support hard real-time communication with minimum latency based on Ethernet technology. They can also support the automotive domain considering upcoming and challenging application requirements in intelligent vehicles of the future. Despite all advantages, Time-Aware Shaper (TAS), a significant feature of TSN, increases the network configuration overhead. This configuration is required to guarantee deterministic network behavior. In this paper, an ontology-based approach is presented that extends TSN capabilities regarding Plug-and-Play and automatic network configuration. The developed ontology meta-models can be used by automotive experts (e.g. network designers or engineers) to design a concrete in-vehicle network based on TSN including knowledge that is required for automatic configuration.

Time-Sensitive Networking (TSN) is a set of upcoming standards supporting highly deterministic communication based on the Ethernet. As a candidate for in-vehicle communication infrastructure, it has recently raised significant attention of the automotive domain. A prototypical experimental setup is designed and developed for the purpose of benchmarking with focus on latency and jitter of time-triggered periodic frames described in IEEE 802.1Qbv.

Abstract-Increasing number of in-vehicle sensors, actuators and controllers involved in novel applications such as autonomous driving, requires new communication technologies to fulfill heterogeneous non-functional requirements such as latency, bandwidth and reliability. Time-Sensitive Networking (TSN) is a set of new standards in development by Institute of Electrical and Electronics Engineers (IEEE) defined to support mixed criticality based on Ethernet technology. This technology has recently raised significant attention of automotive domain. However, the mutual influence of application requirements in relation to TSN standards still remains a complex problem to master. For instance, considering an existing complex automotive network, an engineer has to carefully analyze the possible effects of adding new sensors on other existing critical applications. The network has to be configured such that the fulfilling of all requirements is verified. Targeting this problem, a modeling approach based on Logic Programming (LP) is developed to support more efficient configuration and verification process with focus on in-vehicle TSN networks.