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The application of self-validation to wireless sensor networks.

Collett, M A; Cox, M G; Duta, M*; Esward, T J; Harris, P M; Henry, M P* (2008) The application of self-validation to wireless sensor networks. Meas. Sci. Technol., 19 (12). 125201

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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.

Item Type: Article
Keywords: SEVA, self-validation, data fusion, data exclusion, largest consistent subset, uncertainty evaluation, information hierarchy
Subjects: Electromagnetics
Electromagnetics > Wireless Communications
Last Modified: 02 Feb 2018 13:15
URI: http://eprintspublications.npl.co.uk/id/eprint/4242

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