• DocumentCode
    593476
  • Title

    Environmental monitoring using sensor data fusion

  • Author

    Das, Suvra Sekhar ; Deka, N. ; Sinha, N. ; Dhar, Sudipta ; Bhattacharjee, Debotosh ; Gupta, Swastik

  • Author_Institution
    Electron. & Commun. Dept., Sikkim Manipal Inst. of Technol., Majitar, India
  • fYear
    2012
  • fDate
    21-22 Dec. 2012
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    This paper deals with the implementation of data fusion technique viz. Kalman Filter in the estimation of a precise value for a set of data taken from sensors measuring various environmental aspects such as temperature, humidity and atmospheric pressure. Current research work going in this field is also discussed in brief, as well as their limitations.
  • Keywords
    Kalman filters; atmospheric pressure; environmental monitoring (geophysics); environmental science computing; humidity measurement; pressure measurement; sensor fusion; temperature measurement; Kalman filter; atmospheric pressure; data fusion technique; environmental aspects; environmental monitoring; humidity; sensor data fusion; temperature; Algorithm design and analysis; Data integration; Educational institutions; Environmental monitoring; Filtering algorithms; Kalman filters; Data fusion; Environmental monitoring; Kalman; less; weather;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, Communication and Computing (ICRCC), 2012 International Conference on
  • Conference_Location
    Tiruvannamalai
  • Print_ISBN
    978-1-4673-2756-5
  • Type

    conf

  • DOI
    10.1109/ICRCC.2012.6450552
  • Filename
    6450552