Study on message scheduling of Time-triggered CAN with improved genetic algorithm and discretely distributed strategy

This paper mainly studies on how to optimize the scheduling efficiency and improve the real-time performance of message scheduling for Time-triggered CAN. The improved genetic algorithm is proposed to optimize scheduling efficiency by improving the transmission efficiency of time-triggered messages. Meanwhile, the bandwidth utilization is provided to evaluate the algorithm superiority. In addition, the discretely distributed strategy is presented to improve the real-time performance. The feasibility of the discretely distributed strategy is evaluated by modeling the probability distribution of the event-triggered message occurrence. The simulation results show that the proposed methods improve the scheduling efficiency and the real-time performance of message scheduling greatly.