Short Paper: Towards Data-similarity-based Clustering for Inter-vehicle Communication

Stefan Dietzel, Mihail Balanici, Frank Kargl

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)

    Abstract

    Many applications of inter-vehicle communication networks (IVC) rely on multi-hop dissemination of information using vehicle-to-vehicle communication. An example are traffic information systems, which aim to provide up-to-date information about traffic jams to drivers. Due to the large amount of information and wide dissemination ranges, naive protocols fail to scale to multi-hop dissemination. Therefore, a wide range of efficient protocols has been investigated. While clustering protocols are successfully used for similar applications in other domains, such as wireless sensor networks, they have been neglected by IVC research, because they often fail due to high vehicle mobility. In this paper, we present a data-similarity-based approach for clustering in inter-vehicle networks, which is built to work in high mobility settings. In contrast to existing clustering proposals, we explicitly draw from knowledge gained during the development of other multi-hop dissemination mechanisms in general and in- network aggregation in particular. We demonstrate our approach with a clustering protocol proposal and show first evaluation results using theoretical analyses.
    Original languageUndefined
    Title of host publicationProceedings of the IEEE Vehicular Networking Conference 2013 (VNC 2013)
    Place of PublicationUSA
    PublisherIEEE Communications Society
    Pages238-241
    Number of pages4
    ISBN (Print)978-1-4799-2687-9
    DOIs
    Publication statusPublished - Dec 2013
    EventIEEE Vehicular Networking Conference, VNC 2013 - Boston, United States
    Duration: 16 Dec 201318 Dec 2013
    http://www.ieee-vnc.org/2013/

    Publication series

    Name
    PublisherIEEE Communications Society

    Conference

    ConferenceIEEE Vehicular Networking Conference, VNC 2013
    Abbreviated titleVNC
    CountryUnited States
    CityBoston
    Period16/12/1318/12/13
    Internet address

    Keywords

    • SCS-Cybersecurity
    • clustering algorithm
    • relative velocity
    • EWI-24633
    • METIS-304047
    • VANET
    • IR-90414
    • IVC
    • Data aggregation
    • V2V Communication

    Cite this

    Dietzel, S., Balanici, M., & Kargl, F. (2013). Short Paper: Towards Data-similarity-based Clustering for Inter-vehicle Communication. In Proceedings of the IEEE Vehicular Networking Conference 2013 (VNC 2013) (pp. 238-241). USA: IEEE Communications Society. https://doi.org/10.1109/VNC.2013.6737622