In vehicular ad hoc networks, vehicular nodes take the responsibility of data collection and exchange for smart transportation services. When an emergency occurs, such as traffic accident, how to propagate the alert message to relevant vehicles efficiently and quickly, is still an open problem. In this paper, a neighbor-decoding-based data propagation scheme is proposed, called NED. It utilizes network coding to improve the quality of data transmissions. Considering the options among raw blocks and encoded blocks, the sender selects the one to send, which has the highest decoding capability of neighbors. This selection guarantees a relatively large number of decoded blocks at neighbors after they receive this block. Experiments using real trajectory data show that NED has a high block decoding rate and a high packet coverage rate while keeping similar dissemination delay.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Neighbor-Decoding-Based Data Propagation in Vehicular Networks


    Beteiligte:
    Jiang, Hejun (Autor:in) / Tang, Xiaolan (Autor:in) / Chen, Wenlong (Autor:in) / Pu, Juhua (Autor:in)


    Erscheinungsdatum :

    2018-08-01


    Format / Umfang :

    252152 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Neighbor-Aided Localization in Vehicular Networks

    Cruz, Susana B | Online Contents | 2017


    Neighbor-Aided Localization in Vehicular Networks

    Cruz, Susana B. / Abrudan, Traian E. / Xiao, Zhuoling et al. | IEEE | 2017


    Poster: Towards 2-Hop Neighbor Management for Heterogeneous Vehicular Networks

    Turcanu, Ion / Kim, Minsuk / Klingler, Florian | IEEE | 2020