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Augmented Collective Digital Twins for Self-Organising Cyber-Physical Systems
Alma Mater Studiorum-Universita di Bologna, Italy.
Alma Mater Studiorum-Universita di Bologna, Italy.
Alma Mater Studiorum-Universita di Bologna, Italy.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Katholieke University, Belgium.ORCID iD: 0000-0002-1162-0817
2021 (English)In: Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021, IEEE, 2021, p. 160-165Conference paper, Published paper (Refereed)
Abstract [en]

Context. Self-organising and collective computing approaches are increasingly applied to large-scale cyber-physical systems (CPS), enabling them to adapt and cooperate in dynamic environments. Also, in CPS engineering, digital twins are often leveraged to provide synchronised logical counterparts of physical entities, whereas in sensor networks the different-but-related concept of virtual device is used e.g. to abstract groups of sensors. Vision. We envision the design concept of ’augmented collective digital twin’ that captures digital twins at a collective level extended with purely virtual devices. We argue that this concept can foster the engineering of self-organising CPS by providing a holistic, declarative, and integrated system view. Method. From a review and proposed taxonomy of logical devices comprehending both digital twins and virtual devices, we reinterpret a meta-model for self-organising CPSs and discuss how it can support augmented collective digital twins. We illustrate the approach in a crowd-aware navigation scenario, where virtual devices are opportunistically integrated into the system to enhance spatial coverage, improving navigation capabilities. Conclusion. By integrating physical and virtual devices, the novel notion of augmented collective digital twin paves the way to self-improving system functionality and intelligent use of resources in self-organising CPSs. Conclusion. By integrating physical and virtual devices, the novel notion of augmented collective digital twin paves the way to self-improving system functionality and intelligent use of resources in self-organising CPSs. © 2021 IEEE.

Place, publisher, year, edition, pages
IEEE, 2021. p. 160-165
Keywords [en]
Air navigation; Cyber Physical System; Digital devices; Sensor networks, Aggregate computing; Collective systems; Dynamic environments; Improving systems; Large-scales; Physical devices; Self organizations; Self-organising; System functionality; Virtual devices, Embedded systems
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-117254DOI: 10.1109/ACSOS-C52956.2021.00051ISI: 000802071800027Scopus ID: 2-s2.0-85122016139ISBN: 9781665443937 (print)OAI: oai:DiVA.org:lnu-117254DiVA, id: diva2:1708251
Conference
Conference of 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 ; Conference Date: 27 September 2021 Through 1 October 2021
Available from: 2022-11-03 Created: 2022-11-03 Last updated: 2022-11-03Bibliographically approved

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Weyns, Danny

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