One of the major difficulties for cooperative, decentralized information dissemination in vehicular networks is the heavily varying node density, which can lead to capacity issues of the wireless channel when many vehicles are driving or standing closely together. At the same time, a number of applications do not require exact information from all participating nodes, but higher-level aggregated information. For example, reports on road conditions or on flow of traffic can be aggregated before further dissemination, since remote drivers just need to know a coarse-grained picture of the situation. In this paper, the authors propose an information aggregation framework using the example of cooperative traffic congestion detection. The difference of this aggregation framework compared to other approaches is that it completely abandons any predefined structures such as grids and any group establishment. First evaluation results show that this approach works well for average speed dissemination on a highway. This paper is organized as follows. Section II elaborates on existing approaches for data aggregation both in the Wireless Sensor Networks domain and in the Vehicular Ad Hoc Networks domain. Section III gives an abstract view the basic concept of this framework. Section IV builds upon that abstract view to explain the system architecture in more detail. The presentation of this framework is followed by an analysis of the simulation results in Section V. Finally, Section VI concludes this paper.


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    Title :

    A structure-free aggregation framework for vehicular ad hoc networks


    Additional title:

    Ein strukturfreies, vereinigungsaktives Rahmennetzwerk für das Fahrzeug-Ad-Hoc-Netzwerk


    Contributors:
    Dietzel, Stefan (author) / Schoch, Elmar (author) / Bako, Boto (author) / Kargl, Frank (author)


    Publication date :

    2009


    Size :

    6 Seiten, 5 Bilder, 15 Quellen


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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