Michael A Collett et al 2008 Meas. Sci. Technol. 19 125201 doi:10.1088/0957-0233/19/12/125201
Michael A Collett1,3, Maurice G Cox1, Mihaela Duta2, Trevor J Esward1, Peter M Harris1 and Manus P Henry2
Show affiliationsSelf-validation is a valuable tool for extending the operating range of sensing systems and making them more robust. Wireless sensor networks suffer many limitations meaning that their efficacy could be greatly improved by self-validation techniques. We present two independently developed data analysis techniques and demonstrate that they can be applied to a wireless sensor network. Using an acoustic ranging application we demonstrate an improvement of more than ten-fold in the uncertainty of a single measurement where multiple sensor readings are appropriately combined. We also demonstrate that of the two methods for determining a largest consistent subset one is more rigorous in dealing with correlation, and the other more suited to time-series data.
07.07.Df Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
Issue 12 (December 2008)
Received 8 April 2008, in final form 11 August 2008
Published 13 October 2008
Michael A Collett et al 2008 Meas. Sci. Technol. 19 125201
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