Random network coding over composite fields

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    Abstract

    Random network coding is a method that achieves multicast capacity asymptotically for general networks [1, 7]. In this approach, vertices in the network randomly and linearly combine incoming information in a distributed manner before forwarding it through their outgoing edges. To ensure success, the involved finite field needs to be large enough [2, 7], which can be an obstacle if some inner (intermediate) nodes have less computational power than others. In this work, we analyze what can be achieved if different nodes are allowed to use different finite fields from a selection of fields all contained in some composite extension finite field [3, 5].

    OriginalsprogEngelsk
    TitelCoding Theory and Applications - 5th International Castle Meeting, ICMCTA 2017,Proceedings : ICMCTA 2017
    RedaktørerA Barbero, V. Skacheck, Ø. Ytrehus
    Antal sider10
    ForlagSpringer
    Publikationsdato23 aug. 2017
    Sider118-127
    ISBN (Trykt)978-3-319-66277-0
    ISBN (Elektronisk)978-3-319-66278-7
    DOI
    StatusUdgivet - 23 aug. 2017
    Begivenhed5th International Castle Meeting on Coding Theory and Applications - Vihula Manor, Estland
    Varighed: 28 aug. 201731 aug. 2017
    http://www.castle-meeting-2017.ut.ee/

    Konference

    Konference5th International Castle Meeting on Coding Theory and Applications
    LokationVihula Manor
    Land/OmrådeEstland
    Periode28/08/201731/08/2017
    Internetadresse
    NavnLecture Notes in Computer Science
    Vol/bind10495
    ISSN0302-9743

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