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A Cyber Sensor Model for Cyber-Physical-Social Systems

Author

Listed:
  • Olga Murdoch

    (University College Dublin, Ireland)

  • Michael J. O'Grady

    (University College Dublin, Ireland)

  • Gregory M. P. O'Hare

    (University College Dublin, Ireland)

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.

Suggested Citation

  • Olga Murdoch & Michael J. O'Grady & Gregory M. P. O'Hare, 2021. "A Cyber Sensor Model for Cyber-Physical-Social Systems," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 12(1), pages 80-94, January.
    • Handle: RePEc:igg:jaeis0:v:12:y:2021:i:1:p:80-94
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    Cited by:

    1. Kirchengast, Sylvia & Waldhör, Thomas & Juan, Alfred & Yang, Lin, 2024. "Secular trends and regional pattern in body height of Austrian conscripts born between 1961 and 2002," Economics & Human Biology, Elsevier, vol. 53(C).

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