Cooperative Socio-aware Dynamic Backoff Optimization for Urban VANETs

Matthias Sander Frigau

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


    The communication graph formed by vehicles is an
    abstract and dynamic graph that faces intermittent disconnections
    due to the high mobility of vehicles. This graph is governed
    by traffic signaling, urban planning and drivers behaviours. Even
    if Social Network Analysis (SNA) proved its benefits in the
    study of abstract social networks, it poses new challenges when
    applied to dynamic networks such as vehicular ad hoc networks
    (VANETs). This paper aims at studying how social centrality and
    community metrics, two important social properties in SNA can
    help to mitigate the poor performances in vehicular networks.
    This paper first explores the possible correlation that exists
    between performance degradation and social metrics in urbanlike
    maps. After conducting an extensive quantitative analysis
    on the correlation between social and underlying networking
    properties of vehicular networks under different densities, space
    clustering coefficient, transmission range, we observed that closeness
    centrality, clustering coefficient and lobby index can help
    to identify special vehicles - those vehicles that have a higher
    opportunity to access the channel than others - and discuss the
    implications of such findings in the context of a dynamic backoff
    optimization for the IEEE 802.11p MAC layer.
    Original languageEnglish
    Title of host publication2015 IEEE International Conference on Pervasive Intelligence and Computing
    PublisherIEEE Computer Society
    Number of pages9
    ISBN (Electronic)9781509001545
    ISBN (Print)9781509001538
    Publication statusPublished - 28 Dec 2015


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