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A Cyber Sensor Model for Cyber-Physical-Social Systems

A Cyber Sensor Model for Cyber-Physical-Social Systems

Olga Murdoch, Michael J. O'Grady, Gregory M. P. O'Hare
Copyright: © 2021 |Volume: 12 |Issue: 1 |Pages: 15
ISSN: 1947-3192|EISSN: 1947-3206|EISBN13: 9781799861584|DOI: 10.4018/IJAEIS.20210101.oa6
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MLA

Murdoch, Olga, et al. "A Cyber Sensor Model for Cyber-Physical-Social Systems." IJAEIS vol.12, no.1 2021: pp.80-94. http://doi.org/10.4018/IJAEIS.20210101.oa6

APA

Murdoch, O., O'Grady, M. J., & O'Hare, G. M. (2021). A Cyber Sensor Model for Cyber-Physical-Social Systems. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 12(1), 80-94. http://doi.org/10.4018/IJAEIS.20210101.oa6

Chicago

Murdoch, Olga, Michael J. O'Grady, and Gregory M. P. O'Hare. "A Cyber Sensor Model for Cyber-Physical-Social Systems," International Journal of Agricultural and Environmental Information Systems (IJAEIS) 12, no.1: 80-94. http://doi.org/10.4018/IJAEIS.20210101.oa6

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Abstract

Engineering sustainable cyber-physical-social systems demand a transdisciplinary approach. Within an arbitrary domain, many systems, including those of the physical and cyber categories, may already be in-situ; however, heterogeneity permeates such systems, for example, differing protocols, data formats, among others. Heterogeneity is not a deliberate feature of an arbitrary system; rather, it is the cumulative result of pragmatic decisions that were made during design and is driven by many different factors, some of which may not be technological. Nonetheless, heterogeneity represents a critical obstacle for system designers as they seek to harness and integrate diverse system elements to deliver innovative services. This obstacle is acutely manifested in cyber-physical-social systems when collecting and fusing data for evidence-based decision-making; social and human-derived data exacerbate the problem. This paper proposes a programming model for fusing information sources in cyber-physical-social systems. The efficacy of the model is validated via a usability analysis.