In mobile scenarios, location dependent data can be provided by an infrastructure, or, in case an infrastructure is not available or feasible, by opportunistic networking among mobile devices populating the region of interest. Caused by node mobility, data availability within the region of interest relies on replication and forwarding techniques. The authors' approach associates data with a geo-address describing the Point of Interest (POI) of the data and proposes a decentralized algorithm for data dissemination. Mobile devices replicate data to increase data availability within a circular area around the POI. To avoid unnecessary communication overhead, the distributed algorithm Sector Heads Aided Flooding Technique (SHAFT) restricts the number of mobile nodes that forward data by arranging data placement geometrically in the area. Hereby, each mobile node decides whether to become a forwarding node based on its geolocation and the known scheme for data arrangement. Additionally, the algorithm adapts to the locally measured density of mobile devices in range. By applying the approach to a cooperative parking lot management system based on the Manhattan mobility model the authors demonstrate its usefulness. Simulation results are provided showing that SHAFT reaches similar data availability as flooding by reducing the number of packets transferred by a factor of up to 92.3 % for newly created data and by up to 81.1 % for data updates in scenarios of high node density. The paper is structured as follows: First, the authors relate the concept to existing data dissemination and replication approaches in Section 2. The concept of geo-location based data dissemination with focus on SHAFT is described in Section 3. The selected use case of cooperative parking lot management is described in Section 4 as well as how the algorithm is applied to this use case. In Section 5, the authors describe the findings of the simulation runs for the parking lot management application and in terms of general dissemination and replication properties. Section 6 discusses the findings and open issues for future work.


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    Titel :

    A geo-location based opportunistic data dissemination approach for MANETs


    Beteiligte:


    Erscheinungsdatum :

    2009


    Format / Umfang :

    8 Seiten, 10 Bilder, 1 Tabelle, 26 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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