• DocumentCode
    3400382
  • Title

    3D Localization in Wireless Sensor Networks Using Unmanned Aerial Vehicle

  • Author

    Villas, Leandro A. ; Guidoni, Daniel Ludovico ; Ueyama, Jo

  • Author_Institution
    Univ. of Campinas, Campinas, Brazil
  • fYear
    2013
  • fDate
    22-24 Aug. 2013
  • Firstpage
    135
  • Lastpage
    142
  • Abstract
    A wireless sensor network (WSN) is designed to perform event detection, data collection, and reporting such data to a monitoring station. In many cases, it is necessary to know the location of sensor nodes to relate the detection of the event at a specific location. However, the geographical location of the sensor nodes in most applications can only be set after their deposition in the area of interest. Therefore, for the sensor nodes to know their location, it is necessary to use specific algorithms to solve the problem of discovering the geographical position of sensor nodes. This work addresses the problem of 3D localization in WSNs using an Unmanned Aerial Vehicle (UAV). The UAV is equipped with GPS and it flies over the monitoring area broadcasting its geographical position. Thus, the sensor nodes are able to estimate their geographical position without being equipped with GPS receiver. Simulation results show that using an UAV leads to a smaller error in the calculation of geographic location when compared to solutions presented in the literature.
  • Keywords
    Global Positioning System; autonomous aerial vehicles; wireless sensor networks; 3D localization; GPS receiver; UAV; WSN; data collection; event detection; geographical location; geographical position; monitoring area broadcasting; monitoring station; sensor nodes; unmanned aerial vehicle; wireless sensor networks; Equations; Estimation; Global Positioning System; Mobile communication; Monitoring; Three-dimensional displays; Wireless sensor networks; 3D Localization; Unmanned Aerial Vehicle; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications (NCA), 2013 12th IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-5043-5
  • Type

    conf

  • DOI
    10.1109/NCA.2013.35
  • Filename
    6623653