In time sensitive network of avionics system, traffic scheduling algorithm plays an important role in determining the transmission order and delay of data flow in the network. Based on OMNeT++, this paper builds the simulation model of time sensitive network, and simulates the scheduling algorithms of strict priority, credit-based shaper integrator, frame preemption mechanism and time-aware shaper integrator, then the end-to-end delay of data packets under these algorithms are analyzed and compared. At the same time, the combination of various scheduling algorithms is simulated. The SPTAS algorithm is formed by combining strict priority, frame preemption and time-aware shaper. The SCTAS algorithm is formed by combining strict priority, credit-based shaping and time-aware shaper. The results show that the combined scheduling algorithm can make full use of their respective advantages under different network scenarios and application requirements, provide better performance and service quality than using a single scheduling algorithm, and improve the real-time performance and resource utilization of the time sensitive network.

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Research on Time Sensitive Network Traffic Scheduling Technology Based on Digital Simulation

  • Zhen Dai,
  • Hanliang Zhang,
  • Xiangfeng Xia

摘要

In time sensitive network of avionics system, traffic scheduling algorithm plays an important role in determining the transmission order and delay of data flow in the network. Based on OMNeT++, this paper builds the simulation model of time sensitive network, and simulates the scheduling algorithms of strict priority, credit-based shaper integrator, frame preemption mechanism and time-aware shaper integrator, then the end-to-end delay of data packets under these algorithms are analyzed and compared. At the same time, the combination of various scheduling algorithms is simulated. The SPTAS algorithm is formed by combining strict priority, frame preemption and time-aware shaper. The SCTAS algorithm is formed by combining strict priority, credit-based shaping and time-aware shaper. The results show that the combined scheduling algorithm can make full use of their respective advantages under different network scenarios and application requirements, provide better performance and service quality than using a single scheduling algorithm, and improve the real-time performance and resource utilization of the time sensitive network.