Conceivable applications that are based on inter-vehicle communication include the distribution of warning messages, traffic flow information, or communication with road signs and traffic lights. An outstanding characteristic of these applications is the regional relevance of the information that is distributed by the nodes. A novel addressing technique is presented that is based on a reproduction of the relevant area using interpolation points. The approach is not restricted to specify the region but additional parameters like the affected moving direction can be determined. The applicability of this concept is demonstrated by means of an intersection assistant that has been implemented. This trend is reasoned by the great expectations on C2X-based active safety applications in terms of reducing the number of road accidents or their severity. Future C2X-networks constitute so-called vehicular ad hoc networks (VANETS) that operate in a decentralized manner and do not rely on existing infrastructure. Since the C2X-nodes are in general mobile, there is a continuous change of the network topology. Furthermore due to the limited communication range of each unit the overall network consists of a varying number of ad hoc network partitions. Since the regional relevance of information is an essential characteristic of multiple C2X-applications it is important to provide means for an appropriate description of the addressed region. The concept presented intends to cope with these problems as it allows to reshape the affected road and thus enables vehicles to determine the relevance of the received information.


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    Titel :

    Replication of local road networks for regional information dissemination in VANETS


    Weitere Titelangaben:

    Replikation von lokalen Straßennetzen für die regionale Information in VANETs


    Beteiligte:


    Erscheinungsdatum :

    2006


    Format / Umfang :

    6 Seiten, 5 Bilder, 7 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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