A straightforward route to sensor selection for IoT systems

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dc.contributor.author Jones, Paul M.
dc.contributor.author Lonne, Quentin
dc.contributor.author Talaia, Pedro
dc.contributor.author Leighton, Glenn J. T.
dc.contributor.author Botte, Gerardine G.
dc.contributor.author Mutnuri, Srikanth
dc.contributor.author Williams, Leon
dc.date.accessioned 2019-08-21T10:23:06Z
dc.date.available 2019-08-21T10:23:06Z
dc.date.issued 2018-09-12
dc.identifier.citation Jones PM, Lonne Q, Talaia P, et al., A straightforward route to sensor selection for IoT systems. Research-Technology Management, Volume 61, Issue 5, 2018, pp. 41-50 en_UK
dc.identifier.issn 0895-6308
dc.identifier.uri https://doi.org/10.1080/08956308.2018.1495965
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/14451
dc.description.abstract The Internet of Things (IoT) allows for remote management and monitoring of many aspects of everyday life at the individual and industrial levels. However, designing these systems within constraints of cost and operational context can be a real challenge. The sensor network must be strategically designed, which means selecting the most appropriate sensors to collect a specific measurement in a specific environment and then optimizing their deployment and utilization. To facilitate sensor selection, we propose a straightforward, color-coded, three-sieve selection tool and demonstrate the efficacy of this method through real-life exemplars. The selection tool could be applied to other kinds of technologies as well. en_UK
dc.language.iso en en_UK
dc.publisher Taylor and Francis en_UK
dc.rights Attribution-NonCommercial 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/ *
dc.subject Sensor selection en_UK
dc.subject Internet of Things en_UK
dc.title A straightforward route to sensor selection for IoT systems en_UK
dc.type Article en_UK

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