Data for - A straightforward route to sensory device selection for IoT systems
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Authors
Jones, Paul
Lonne, Quentin
De Almeida Talaia, Pedro
Mutnuri, Srikanth
Williams, Leon
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Jones P, Lonne Q, De Almeida Talaia P, et al. (2018). Data for - A straightforward route to sensory device selection for IoT systems. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.5809329
Abstract
Paper abstract: The Internet of Things 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.
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Github
Keywords
Sensor, selection methods, Internet-of-things era, Sensory Systems
DOI
10.17862/cranfield.rd.5809329
Rights
CC BY 4.0
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Bill & Melinda Gates Foundation