The Cyber Sensor Network

O’Grady, Michael J.; Murdoch, Olga; Carr, Dominic; Collier, Rem W.; O’Hare, Gregory M. P.

doi:10.1109/dasc/picom/datacom/cyberscitec.2018.00076

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…• The mature model of WSNs, fundamental to CPS, is complemented and replicated in so far as possible; • Heterogeneity is intrinsic to CPSs and CPSSs; hence, the conventional strategy for managing diversity, that of middleware, is adopted; • A uniform model of sensing that is tractable in both physical and cyberspace is a prerequisite; therefore, the core design entity is that of the Cyber Sensor (O'Grady et al, 2018).…”

Section: Modelling a Cyber-physical-social Systemmentioning

confidence: 99%

A Cyber Sensor Model for Cyber-Physical-Social Systems

Murdoch

O’Grady

O’Hare

2021

International Journal of Agricultural and Environmental Information Systems

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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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Section: Modelling a Cyber-physical-social Systemmentioning

confidence: 99%