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Performance Evaluations and Measurements of the REALFLOW Routing Protocol in Wireless Industrial Networks
Mälardalen University.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Communication Systems and Networks)ORCID iD: 0000-0003-0873-7827
ABB Corporate Research, Sweden.
Mälardalen University, Sweden.
2017 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 13, no 3, 1410-1420 p., 7506102Article in journal (Refereed) Published
Abstract [en]

Industrial wireless sensor and actuator networks (IWSANs) offer significant advantages to industria lautomation. However, high-reliability demands and hard communication deadlines pose challenges to its practical applications. To achieve this goal, flooding is considered as a promising approach due to multipath diversity and simplicity. In this paper, an enhanced version of REALFLOW, a flooding-based routing protocol for IWSANs is presented. Compared to the original REALFLOW, network management and network stability are improved. REALFLOW is compared with four other flooding protocols via simulations. The simulation results show that REALFLOW has better performance in terms of reliability and consecutive transmission errors when considering deadlines. Compared with normal flooding, REALFLOW achieves comparable reliability performance with decreased redundancy. Measurements from a prototype implementation conducted in an industrial manufacturing workshop reveal that high-reliability and low-application failure rates can be achieved, giving more confidence in providing reliable wireless sensing and actuating for industrial automation.

Place, publisher, year, edition, pages
2017. Vol. 13, no 3, 1410-1420 p., 7506102
Keyword [en]
Industrial wireless sensor network (WSN), measurement, multipath, reliability, routing.
National Category
Communication Systems Telecommunications Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-30819DOI: 10.1109/TII.2016.2587842ISI: 000402929700048Scopus ID: 2-s2.0-85020631300Local ID: STCOAI: oai:DiVA.org:miun-30819DiVA: diva2:1106901
Projects
ASISTIMELINESS
Funder
Knowledge Foundation
Available from: 2017-06-08 Created: 2017-06-08 Last updated: 2017-09-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
More styles
Language
  • de-DE
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  • nn-NO
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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