Making Sense of the World: Framing Models for Trustworthy Sensor-Driven Systems
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School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK
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School of Computer Science, University of St Andrews, St Andrews KY16 9AX, UK
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Department of Computer Science, University of Liverpool, Liverpool L69 3BX, UK
4
Department of Computing, Imperial College London, London SW7 2AZ, UK
*
Author to whom correspondence should be addressed.
Computers 2018, 7(4), 62; https://doi.org/10.3390/computers7040062
Received: 6 September 2018
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Revised: 30 October 2018
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Accepted: 12 November 2018
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Published: 15 November 2018
(This article belongs to the Special Issue The Emergence of Internet of Things (IoT): Connecting Anything, Anywhere?)
Sensor-driven systems provide data and information that facilitate real-time decision-making and autonomous actuation, as well as enable informed policy choices. However, can we be sure that these systems work as expected? Can we model them in a way that captures all the key issues? We define two concepts: frames of reference and frames of function that help us organise models of sensor-based systems and their purpose. Examples from a smart water distribution network illustrate how frames offer a lens through which to organise and balance multiple views of the system. Frames aid communication between modellers, analysts and stakeholders, and distinguish the purpose of each model, which contributes towards our trust that the system fulfils its purpose.
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Keywords:
models; assurance; sensor-driven systems; sensor networks
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MDPI and ACS Style
Calder, M.; Dobson, S.; Fisher, M.; McCann, J. Making Sense of the World: Framing Models for Trustworthy Sensor-Driven Systems. Computers 2018, 7, 62. https://doi.org/10.3390/computers7040062
AMA Style
Calder M, Dobson S, Fisher M, McCann J. Making Sense of the World: Framing Models for Trustworthy Sensor-Driven Systems. Computers. 2018; 7(4):62. https://doi.org/10.3390/computers7040062
Chicago/Turabian StyleCalder, Muffy, Simon Dobson, Michael Fisher, and Julie McCann. 2018. "Making Sense of the World: Framing Models for Trustworthy Sensor-Driven Systems" Computers 7, no. 4: 62. https://doi.org/10.3390/computers7040062
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