Stopping the data flood: Post-Shannon traffic reduction in digital-twins applications

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review


Digital Twin (DT) implementations can reduce latency drastically in future communication systems for steering and control of cyber-physical systems (CPS). When the CPS and its DT periodically exchange information to repair possible desynchronisations between the two systems, this can lead to large data traffic flooding the networks. This work proposes a goal-oriented communication approach based on message identification (ID), which only sends repair data when necessary, but adds control traffic and a probability of not repairing some desynchronisations between the two systems. We compare optimal ID codes and a hash function for detection whether desynchronisation correction is necessary. Our method can reduce the traffic to within 0.3% of its optimal value while repairing 99.97% of all desynchronisations for 4 kbit of data and grows even better for larger data.


Original languageEnglish
Title of host publicationProceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), WS4: International Workshop on Technologies for Network Twins (TNT)
EditorsPal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jerome Francois, Marc-Oliver Pahl
Number of pages5
ISBN (electronic)978-1-6654-0601-7
Publication statusPublished - 29 Apr 2022

External IDs

Scopus 85133177309
Mendeley 5c4c18fd-2189-3e2a-a888-f7d021379685
dblp conf/noms/LengerkeHCF22
ORCID /0000-0001-5980-8731/work/141543252
ORCID /0000-0001-8469-9573/work/161891035