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Evaluation of communication latency in industrial IoT applications
University of Brescia, Brescia, Italy.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. University of Brescia, Brescia, Italy.
University of São Paulo, São Carlos, Brazil.
University of São Paulo, São Carlos, Brazil.
2017 (English)In: 2017 IEEE International Workshop on Measurement and Networking, M and N 2017 - Proceedings, 2017, article id 8078359Conference paper, Published paper (Refereed)
Abstract [en]

The idea of Industry 4.0 includes the concept of Industrial Internet of Things (IIoT) that is the possibility for industrial devices to have Internet connection and share data. Huge amount of data are stored and analyzed in the Cloud to extract meaningful information to be sold as 'services'. Today, many Industry 4.0 scenarios do not require a short latency between data collection and output reaction, but it is expected that short latency services would be seen by the market as a distinctive quality. This paper deals with the estimation of latency in transferring data from the field (where the production takes place) to the Cloud and then back to field. Since IIoT natively refers to worldwide applications, the paper analyzes some cases where interacting nodes are deployed in different continents. The experimental results show that simple solutions based on widely accepted lightweight protocols (e.g. MQTT) and inexpensive industrial grade IoT devices are feasible. From the performance point of view, when using free access Cloud servers, they can achieve round trip latency down to 300 ms with standard deviation of about 20 ms over one-week observation time. 

Place, publisher, year, edition, pages
2017. article id 8078359
Keywords [en]
Automation Networks, Cloud computing, Distributed measurement systems, Industry 4.0, Node-RED
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-33323DOI: 10.1109/IWMN.2017.8078359Scopus ID: 2-s2.0-85035771478ISBN: 9781509056798 OAI: oai:DiVA.org:miun-33323DiVA, id: diva2:1192271
Conference
4th IEEE International Workshop on Measurement and Networking, M and N 2017, Naples, Italy, 27 September 2017 through 29 September 2017
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved

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Sisinni, Emiliano

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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