• DocumentCode
    2735555
  • Title

    On using compressive sensing for vehicular traffic detection

  • Author

    Ngandjon, Maurice Sipouo ; Cherkaoui, Soumaya

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. de Sherbrooke, Sherbrooke, QC, Canada
  • fYear
    2011
  • fDate
    4-8 July 2011
  • Firstpage
    1182
  • Lastpage
    1187
  • Abstract
    The lifespan of wireless sensors installed on the road for vehicular applications is a critical issue since costly road work and maintenance operations are necessary to replace sensors that cannot be powered. For many of these sensors, the energy of communication represents the largest proportion of the total energy consumed. In this work, we show how we use compressive sensing (CS) to significantly reduce the amount of communications necessary to transmit information about traffic measured by wireless magnetic sensors installed on the road. CS is a new concept in signal acquisition where one seeks to minimize the number of measurements to be taken from signals while still retaining the information necessary to approximate them well. Through measurements of signals carried on wireless sensor nodes, and also with simulations, we show that CS can significantly expand the lifetime of the sensors used and caters for new applications of wireless vehicular sensing that would otherwise be too costly to maintain.
  • Keywords
    magnetic sensors; wireless sensor networks; compressive sensing; signal acquisition; vehicular traffic detection; wireless magnetic sensor; wireless vehicular sensing; Frequency domain analysis; Magnetic sensors; Roads; Vehicles; Wireless communication; Wireless sensor networks; Compressive sensing; in-road sensor; traffic monitoring; wireless magnetic sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-9539-9
  • Type

    conf

  • DOI
    10.1109/IWCMC.2011.5982708
  • Filename
    5982708