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Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (6): 328870-328870.doi: 10.7527/S1000-6893.2023.28870

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Link safety criticality balanced scheduling for airborne time-sensitive network

Changxiao ZHAO1,2(), Jun DAI1, Fangzheng DONG1, Daojun LI1   

  1. 1.School of Safety Science and Engineering,Civil Aviation University of China,Tianjin 300300,China
    2.Key Laboratory of Civil Aircraft Airworthiness Technology,CAAC,Tianjin 300300,China
  • Received:2023-04-14 Revised:2023-05-15 Accepted:2023-06-06 Online:2024-03-25 Published:2023-06-16
  • Contact: Changxiao ZHAO E-mail:cxzhao@cauc.edu.cn
  • Supported by:
    National Key Research and Development Program of China(2021YFB1600601);Natural Science Foundation of Tianjin(21JCQNJC00900);Tianjin Graduate Research Innovation Project (Aerospace Special)(2022SKYZ363);the Scientific Research Project of Tianjin Educational Committee(2019KJ134)

Abstract:

To overcome the risk aggregation problem caused by multi-data mixed transmission in the airborne time-sensitive network, a scheduling method for balancing link safety criticality is proposed considering the requirements for real-timeliness and security of data transmission in the airborne time-sensitive network. The task safety criticality of the system is quantified based on expert evaluation and the entropy weight method. Task mapping is used to characterize the link safety criticality, and a scheduling model of the on-board TSN link safety criticality is constructed. A Link Safety Criticality Balancing (LSCB) scheduling method is constructed based on cooperative constraint programming. Compared with the Load Balancing (LB) and Strict Priority (SP) algorithms, the LSCB scheduling method can improve the link safety criticality balancing effect by 7.1% and 25% respectively in the scenario with 50 tasks, and by 17% and 18% respectively in the scenario with 100 tasks. The results show that the proposed LSCB can effectively mitigate risk pooling on the basis of ensuring the upper bound of task transmission delay.

Key words: avionics, airborne network, time-sensitive network, task scheduling, distributed integrated avionics system, airworthiness

CLC Number: