Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying

Bidragets oversatte titel: Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying

Janus Heide, Qi Zhang, Morten V. Pedersen, Frank H. P. Fitzek

    Publikation: KonferencebidragPaperForskning

    Abstract

    This paper investigated the possibility of intrinsic information conveying in network coding systems. The information is embedded into the coding vector by constructing the vector based on a set of predefined rules. This information can subsequently be retrieved by any receiver.
    The starting point is RLNC (Random Linear Network Coding) and the goal is to reduce the amount of coding operations both at the coding and decoding node, and at the same time remove the need for dedicated signaling messages. In a traditional RLNC system, coding operation takes up significant computational resources and adds to the overall energy consumption, which is particular problematic for mobile battery-driven devices.
    In RLNC coding is performed over a FF (Finite Field). We propose to divide this field into sub fields, and let each sub field signify some information or state. In order to embed the information correctly the coding operations must be performed in a particular way, which we introduce. Finally we evaluate the suggested system and find that the amount of coding can be significantly reduced both at nodes that recode and decode.
    Bidragets oversatte titelReducing Computational Overhead of Network Coding with Intrinsic Information Conveying
    OriginalsprogEngelsk
    Publikationsdato2011
    Antal sider5
    StatusUdgivet - 2011
    BegivenhedIEEE 74th Vehicular Technology Conference - San Francisco, USA
    Varighed: 5 sep. 20118 sep. 2011
    Konferencens nummer: 74

    Konference

    KonferenceIEEE 74th Vehicular Technology Conference
    Nummer74
    Land/OmrådeUSA
    BySan Francisco
    Periode05/09/201108/09/2011

    Citationsformater