• DocumentCode
    3394602
  • Title

    Mixed-criticality networks for adaptive systems

  • Author

    Steiner, Wilfried ; Bauer, Günther

  • fYear
    2010
  • fDate
    3-7 Oct. 2010
  • Abstract
    A crucial aspect of mission-critical vehicles is their reaction to environmental or system-internal changes. Ideally, the new situation is autonomously assessed and the vehicle´s behavior is adapted accordingly. Modern mission-critical vehicles realize a network-centric design approach, for one reason because it follows the inherent requirements of interconnecting the sensors and actuators of a control system and secondly, to tolerate a partial failure of the system. Therefore, in order to construct a truly adaptive system, the underlying network infrastructure must harmonically interplay with the top-level adaptive decisions. TTEthernet is such a COTS network infrastructure supporting network-centric system design that provides built-in integrity and redundancy management mechanisms as well as sharing the same physical network for applications of mixed criticality. This paper discusses adaptable QoS and adaptable protocol-control flow in general and in particular using TTEthernet as case study.
  • Keywords
    actuators; adaptive systems; local area networks; protocols; quality of service; redundancy; sensors; telecommunication congestion control; telecommunication traffic; vehicles; COTS network; QoS; TTEthernet; actuators; adaptable protocol-control flow; adaptive system; mission-critical vehicle; mixed-criticality networks; network-centric design; quality of service; redundancy management; sensors; Adaptive systems; Convergence; Face; Receivers; Synchronization; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2010 IEEE/AIAA 29th
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    2155-7195
  • Print_ISBN
    978-1-4244-6616-0
  • Type

    conf

  • DOI
    10.1109/DASC.2010.5655319
  • Filename
    5655319