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Routing optimization of time-triggered ethernet based on genetic algorithm

  • Zhong Zheng
  • , Feng He*
  • , Huagang Xiong
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The development of avionics systems has promoted the introduction of the time-triggered concept. The Time-triggered Ethernet (TTE) is a deterministic, synchronous, conflict-free network protocol based on the IEEE 802.3 Ethernet standards and is compatible with ARINC 664p7 protocol. It supports real-time application of mixed-criticality by providing three types of traffic: time-triggered (TT) traffic, which has low jitter and bounded end-to-end delay; rate-constrained (RC) traffic, which has bounded end-to-end delay; and best-effort (BE) traffic, which cannot ensure end-to-end delay. Carrying out offline routing and scheduling configuration on TT traffic ensures the conflict-free of TT traffic in the transmission link. Since the priority of TT traffic is higher than that of RC traffic, ignoring RC traffic in the process of configuring TT traffic routing may make the RC traffic transmission delay very large, exceeding the scope of network design requirements. The issue of concern in this paper is the routing configuration for TT traffic and RC traffic in the TTE network. Under the premise of ensuring the schedulability of TT traffic, the transmission path of TT and RC traffic is configured and optimized, and the end-to-end delay of RC traffic is reduced. Through the network topology information and network traffic information, a load balancing strategy based on the genetic algorithm is used in this paper to configure TT traffic routing, and a path cost strategy is used to configure RC traffic routing. Experimental results from multiple use cases show that routing configuration for TT traffic has a great effect on the end-to-end delay of RC traffic.

Original languageEnglish
Title of host publicationDASC 2020 - 39th Digital Avionics Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198255
DOIs
StatePublished - 11 Oct 2020
Event39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020 - Virtual, San Antonio, United States
Duration: 11 Oct 202016 Oct 2020

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Volume2020-October
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209

Conference

Conference39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020
Country/TerritoryUnited States
CityVirtual, San Antonio
Period11/10/2016/10/20

Keywords

  • End-to-end delay
  • Genetic algorithm
  • Routing configuration
  • Time-triggered network

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