Optimal Scheduling of Time-Sensitive Networks for Automotive Ethernet Based on Genetic Algorithm

In this paper, we proposed a scheduling method to optimize time-critical traffic using genetic algorithm in automotive ethernet networks. The aims generate transmission schedule minimize end-to-end delay, variation of reception time at the destination (jitter), and bandwidth utilization. These indicators should be simultaneously considered when generating since they are closely related performance However, it is not easy considering these together have different sizes units. To solve problem, fitness function evaluate chromosome has normalized as parameters. A consists genes containing information (size, period, network delay) messages scheduled. Finally, applicability optimization was examined by simulating an extended Ethernet for autonomous vehicle.