Testbeds and Research Infrastructure. Development of Networks and Communities. 8th International ICST Conference, TridentCom 2012, Thessanoliki, Greece, June 11-13, 2012, Revised Selected Papers

Research Article

Demonstration of a Vehicle-to-Infrastructure (V2I) Communication Network Featuring Heterogeneous Sensors and Delay Tolerant Network Capabilities

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  • @INPROCEEDINGS{10.1007/978-3-642-35576-9_43,
        author={Donatos Stavropoulos and Giannis Kazdaridis and Thanasis Korakis and Dimitrios Katsaros and Leandros Tassiulas},
        title={Demonstration of a Vehicle-to-Infrastructure (V2I) Communication Network Featuring Heterogeneous Sensors and Delay Tolerant Network Capabilities},
        proceedings={Testbeds and Research Infrastructure. Development of Networks and Communities. 8th International ICST Conference, TridentCom 2012, Thessanoliki, Greece, June 11-13, 2012, Revised Selected Papers},
        proceedings_a={TRIDENTCOM},
        year={2012},
        month={12},
        keywords={Vehicular Network Delay Tolerant Network 802.11p Sensors Testbed NITOS NITlab Wireless},
        doi={10.1007/978-3-642-35576-9_43}
    }
    
  • Donatos Stavropoulos
    Giannis Kazdaridis
    Thanasis Korakis
    Dimitrios Katsaros
    Leandros Tassiulas
    Year: 2012
    Demonstration of a Vehicle-to-Infrastructure (V2I) Communication Network Featuring Heterogeneous Sensors and Delay Tolerant Network Capabilities
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-642-35576-9_43
Donatos Stavropoulos, Giannis Kazdaridis, Thanasis Korakis, Dimitrios Katsaros, Leandros Tassiulas

    Abstract

    The development of applications based over vehicular networks, such as road safety, environmental information etc. require a complete testbed platform for research and evaluation. Such a platform will be provided by NITOS[1] testbed, that will include nodes mounted on cars and fixed nodes of the testbed operating as road side units (RSU). Besides the wireless infrastructure, there will be several sensors regarding the environmental conditions and the vehicle. These will gather measurements about air conditions and GPS data such as position and speed and will be collected in a central database, where the experimenter will be able to depict them in a Google map.