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Simulating distributed measurement networks in which sensors may be faulty, noisy and interdependent: a software tool for sensor network design, data fusion and uncertainty evaluation.

Collett, M; Esward, T J; Harris, P M; Matthews, C E; Smith, I M (2013) Simulating distributed measurement networks in which sensors may be faulty, noisy and interdependent: a software tool for sensor network design, data fusion and uncertainty evaluation. Measurement, 46 (8). pp. 2647-2660.

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Abstract

We present a software simulation tool that can be used to study time series measurements made with a small sensor network. The software, which is written in Excel and Matlab and is publicly available, may be used to investigate the consequences of network design decisions, to compare different network data fusion algorithms and to evaluate the measurement uncertainties associated with aggregated data from networks.

The software is able to simulate cases in which sensors are intermittently faulty or unreliable, varying levels of noise appear in the measurand and the sensor outputs possess interdependencies, that is, the behaviour of one class of sensor depends on the quantity being measured by another class of sensor.

We report the outcomes of case studies that show the software tool in action, with a particular emphasis on a wireless sensor network that was employed to make distributed temperature measurements, and based on the simulation results make recommendations for good practice in network design and choice of data fusion algorithm.

Item Type: Article
Keywords: measurement uncertainty, data fusion, simulation, sensor network design
Subjects: Mathematics and Scientific Computing
Mathematics and Scientific Computing > Measurement Uncertainties
Identification number/DOI: 10.1016/j.measurement.2013.03.026
Last Modified: 02 Feb 2018 13:14
URI: http://eprintspublications.npl.co.uk/id/eprint/5906

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