A Straightforward Route to Sensor Selection for IoT Systems

Paul M. Jones, Quentin Lonne, Pedro Talaia, Glenn J.T. Leighton, Gerardine G. Botte, Srikanth Mutnuri, Leon Williams

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Overview: 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.

Original languageEnglish
Pages (from-to)41-50
Number of pages10
JournalResearch Technology Management
Volume61
Issue number5
DOIs
StatePublished - Sep 3 2018

Keywords

  • Internet of Things
  • Sensor selection

Fingerprint Dive into the research topics of 'A Straightforward Route to Sensor Selection for IoT Systems'. Together they form a unique fingerprint.

  • Cite this

    Jones, P. M., Lonne, Q., Talaia, P., Leighton, G. J. T., Botte, G. G., Mutnuri, S., & Williams, L. (2018). A Straightforward Route to Sensor Selection for IoT Systems. Research Technology Management, 61(5), 41-50. https://doi.org/10.1080/08956308.2018.1495965