Density-Adaptive Gate Control Configuration Method in Time-Sensitive Networking

To address the limitations of existing Time-Aware Shaper (TAS) scheduling strategies in terms of configuration complexity and resource utilization, this paper proposes a Density-Adaptive Gate Control (DAGC) method, designed to meet the strict latency requirements of high-priority traffic while improving bandwidth utilization. We develop a system model for industrial network environments and design a corresponding scheduling model. By analyzing key performance indicators such as end-to-end latency, jitter, and packet loss rate, we demonstrate the effectiveness of the proposed method. Then, we further demonstrate through MATLAB simulations and real-network experiments that the DAGC method significantly outperforms two existing scheduling methods. In scenarios where traditional end devices cannot alter task offset times, DAGC reduces latency by 98.81% and the number of guard bands by 25.65%, while ensuring zero packet loss. Under network congestion, DAGC decreases the latency of bursty emergency traffic by 89.18%, while ensuring that high-priority traffic remains unaffected by low-priority traffic and maintaining zero packet loss even under heavy load.