Path optimization algorithm for AFDX virtual link to balance the network risk

  • Changxiao Zhao
  • , Feng He
  • , Fang Yan
  • , Peng Wang*
  • , Huagang Xiong
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To meet the safety requirements of the integrated avionics system in the domain of full-daplex switched Ethernet (AFDX), a Risk Balance based Path Planning (RBPP) algorithm for full-daplex switched Ethernet (AFDX) virtual link is proposed, which can meet the requirements for independence of avionics functions, and avoid dispersing risks at the same time. Based on the failure conditions of civil aircraft, the risk models for hosted functions, partitions, end systems and the VL are established, and two different risk modeling strategies are given. RBPP is aimed to balance physical link risks, taking into account real time, network load and other factors. The particle swarm algorithm is introduced to solve the problem. The RBPP algorithm is realized using the simulation optimization method, and simulation analysis is carried out in the typical industrial Avionics Full Duplex switched Ethernet (AFDX) network and A380 AFDX network architecture. The results show that simplification of the VL multicast will increase the network risk. The RBPP algorithm is compared with the Shortest Path (SP) Algorithm and Load Balancing (LB) algorithm under a configuration of 1000 VLs, and the comparison results show that the RBPP algorithm can meet the needs for isolation between all avionics functions. The risk balance in two network topologies that applies RBPP algorithm improves 10.7% and 23.4% than that of the LB, and improved 35.4% and 47.9% than that of the SP.

Original languageEnglish
Article number321435
JournalHangkong Xuebao/Acta Aeronautica et Astronautica Sinica
Volume39
Issue number1
DOIs
StatePublished - 25 Jan 2018

Keywords

  • Avionics
  • Avionics Full Duplex Switched Ethernet (AFDX)
  • Particle swarm optimization
  • Path configuration optimization
  • Risk balance
  • System safety

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