The application of self-validation to wireless sensor networks

M.A. Collett, M.G. Cox, M. Duta, T.J. Esward, P.M. Harris, M.P. Henry

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Self-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.
Original languageEnglish
Article number125201
JournalMeasurement Science and Technology
Issue number12
Publication statusPublished - 13 Oct 2008
Externally publishedYes


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