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    Design of Avionics Network Architecture under a Reliability Constraint

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    Design_of_Avionics_Network_Architecture_under_a_Reliability_Constraint.pdf
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    PDF
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    Type
    Article
    Authors
    Khamvilai, Thanakorn
    Mains, John B.
    Sutter, Louis
    Syed, Aqib
    Baufreton, Philippe
    Neumann, Francois
    Feron, Eric cc
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2021
    Permanent link to this record
    http://hdl.handle.net/10754/675008
    
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    Abstract
    Reliability is an important aspect of operating safety-critical applications of networked systems, such as in avionics. In order to ensure sufficient reliability, one approach is to apply redundancy. However, redundancy may be costly if the degree of redundancy is too high. This paper proposes an optimization-based framework for guaranteeing the desired reliability of any graph-based networked system. It focuses on integrated modular avionics architecture, based on the use of minimally redundant components. This framework consists of two steps. The first is to compute the minimum number of components within the architecture, using a geometric program. The second is to determine the topology with the minimal number of connections between these components, using a signomial program. Finally, the method is illustrated on a small example network and a larger network of the A350 avionics architecture.
    Citation
    Khamvilai, T., Mains, J. B., Sutter, L., Syed, A., Baufreton, P., Neumann, F., & Feron, E. (2021). Design of Avionics Network Architecture under a Reliability Constraint. IEEE Transactions on Aerospace and Electronic Systems, 1–1. doi:10.1109/taes.2021.3134750
    Sponsors
    This effort has been funded in part by SAFRAN, KAUST, and by the National Science Foundation, Grants CNS 1544332 and 1446758.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Aerospace and Electronic Systems
    DOI
    10.1109/taes.2021.3134750
    10.31224/osf.io/5uxaq
    Additional Links
    https://ieeexplore.ieee.org/document/9658146/
    ae974a485f413a2113503eed53cd6c53
    10.1109/taes.2021.3134750
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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