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

We set out a detailed account of our mathematical approach to simulating sensor networks and to data fusion and discuss briefly key features of the examples included with the software. We make recommendations for good practice in network design and choice of data fusion algorithm based on the examples, and discuss some of the limitations of our approach to data fusion applied to time series measurements.