Optimization Design Framework for In-Vehicle Time-Sensitive Networking Architecture
Wenjing Sun, Yuan Zou, Xudong Zhang, Ya Wen, Yuanyuan Li, Jie Fan, Yihao Meng, Xiaoran Lu · IEEE Internet of Things Journal · 2024
The in-vehicle network (IVN) architecture significantly impacts the performance of high-level autonomous vehicles. This paper proposed an innovative optimization design framework for in-vehicle time-sensitive networking (TSN) architecture. This pioneering framework is specifically designed to optimize switch port assignment, load distribution, and end-to-end delay. To balance port allocation and load distribution, a multi-objective optimization problem is formulated. An adaptive non-dominated sorting genetic algorithm (NSGA-II), which in-corporates adaptive crossover and mutation probabilities, is employed to identify candidate topologies. The end-to-end delay is evaluated by an improved gray wolf optimizer (IGWO) based TSN scheduling algorithm. By integrating genetic and tabu search operators, the efficiency and scheduling effectiveness of the IGWO are significantly enhanced. The simulation verifies the superiority of the adaptive NSGA-II and IGWO on search capability. A design instance for a high-level autonomous vehicle is completed based on the proposed framework. The results demonstrate the effectiveness of the design framework, and some design ideas are summarized.