Articles | Volume 9, issue 2
https://doi.org/10.5194/amt-9-347-2016
https://doi.org/10.5194/amt-9-347-2016
Research article
 | 
04 Feb 2016
Research article |  | 04 Feb 2016

Mobile sensor network noise reduction and recalibration using a Bayesian network

Y. Xiang, Y. Tang, and W. Zhu

Viewed

Total article views: 3,250 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,017 1,110 123 3,250 158 193
  • HTML: 2,017
  • PDF: 1,110
  • XML: 123
  • Total: 3,250
  • BibTeX: 158
  • EndNote: 193
Views and downloads (calculated since 31 Aug 2015)
Cumulative views and downloads (calculated since 31 Aug 2015)

Cited

Saved (final revised paper)

Latest update: 26 Apr 2026
Download
Short summary
Motivated by unreliable sensor readings and the difficulties in calibrating sensors, we developed a Bayesian-network-based method to remove the abnormal readings and re-calibrate the sensors.
Share