Data for - A straightforward route to sensory device selection for IoT systems

Loading...
Thumbnail Image

Date published

Free to read from

Authors

Jones, Paul
Lonne, Quentin
De Almeida Talaia, Pedro
Mutnuri, Srikanth
Williams, Leon

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Department

Course name

ISSN

Format

Citation

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.

Description

Software Description

Software Language

Github

Keywords

Sensor, selection methods, Internet-of-things era, Sensory Systems

DOI

10.17862/cranfield.rd.5809329

Rights

CC BY 4.0

Funder/s

Bill & Melinda Gates Foundation

Relationships

Resources