A Cyber Sensor Model for Cyber-Physical-Social Systems
Michael J. O'Grady and
Gregory M. P. O'Hare
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Olga Murdoch: University College Dublin, Ireland
Michael J. O'Grady: University College Dublin, Ireland
Gregory M. P. O'Hare: University College Dublin, Ireland
International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2021, vol. 12, issue 1, 80-94
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.
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