Dynamic admission control and elastic reconfiguration for TSN flows under domain-controlled networks

In-vehicle communication networks face growing challenges due to the increasing volume and time sensitivity of data generated by autonomous driving systems. While Time-Sensitive Networking (TSN) provides deterministic latency guarantees, dynamically admitting new TS flows without disrupting existing lower-priority traffic remains a critical concern, particularly in domain-controlled architectures. This paper proposes a joint admission and scheduling framework that integrates a Feasibility Prediction Process (FPP), an Elastic Reconfiguration Process (ERP), and a fallback Traditional Process (TP), collectively referred to as the Joint Process (JP). The FPP employs a delay-aware routing and scheduling mechanism with predictive feasibility checking, using worst-case end-to-end delay analysis for Audio Video Bridging (AVB) flows, which is a set of IEEE 802.1 standards enabling synchronized, low-latency audio/video transmission. When FPP fails, ERP selectively compresses the transmission periods of AVB flows to preserve communication continuity without service interruption. Hardware-in-the-loop testbed experiments across four representative topologies demonstrate that the proposed method achieves up to 82 % successful TS flow admission without AVB interference, while the ERP further recovers degraded cases under high bandwidth utilization. Compared to conventional methods, JP improves schedulability by over 150 % in dense traffic conditions with only moderate computational overhead. The proposed framework is hardware-verified on a Kintex-7 FPGA-based TSN prototype platform and demonstrates strong applicability in real-time, high-reliability vehicular networks. This work advances the dynamic adaptability and robustness of TSN scheduling under multi-priority traffic scenarios.