The Multi-Objective Joint Scheduling Optimization Algorithm for Time-Sensitive Networks

To address the inadequate optimization of performance indicators, such as end-to-end delay, jitter, and bandwidth utilization, as well as the poor scalability in the joint routing and scheduling of Time-Sensitive Networking (TSN), a multi-objective joint scheduling optimization algorithm based on an improved Non-dominated Sorting Genetic Algorithm was proposed. Specifically, a multi-objective network architecture utilizing TSN performance indicators as optimization objectives was established, feasible traffic paths were comprehensively analyzed, and the global optimal multi-objective solution was identified. Furthermore, the effectiveness of the proposed algorithm was evaluated through extensive experiments. The proposed algorithm significantly improves the comprehensive traffic performance in terms of end-to-end delay, jitter, and bandwidth utilization in large-scale complex scenarios.