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
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