Within the North American freight railroad industry, there is currently an effort to enable more intelligent telemetry for freight trains. By enabling greater visibility of their rolling stock, including locomotives and railroad cars, railroad companies hope to improve their asset utilization, operational safety, and business profitability. Different communication and sensing technologies are being explored and one candidate technology is wireless sensor networks (WSN). It is presented Sensor-Enabled Ambient-Intelligent Telemetry for Trains (SEAIT), which is a WSN-based approach to supporting sensing and communications for advanced freight transportation scenarios. As part of a proof-of-technology exploration, SEAIT was designed to address key requirements of industry proposed applications. It are introduced several of these applications and highlighted the challenges, which include high end-to-end reliability over many hops, low-latency delivery of emergency alerts, and accurate identification of train composition. The architecture of SEAIT and evaluate are presented against these requirements using an experimental deployment.


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    Titel :

    Intelligent telemetry for freight trains


    Weitere Titelangaben:

    Intelligente Telemetrie für Güterzüge


    Beteiligte:
    Reasn, Johnathan M. (Autor:in) / Chen, Han (Autor:in) / Crepaldi, Riccardo (Autor:in) / Duri, Sastry (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    20 Seiten, 6 Bilder, 1 Tabelle, 18 Quellen





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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