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Implementation and Evaluation of Error Control Schemes in Industrial Wireless Sensor Networks
Chalmers University of Technology, Sweden .
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7159-7508
ABB AB, Corporate Research, Sweden .
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2014 (English)In: Proceedings of the IEEE International Conference on Industrial Technology, 2014, 730-755 p.Conference paper (Refereed)
Abstract [en]

Industrial Wireless Sensor Networks (IWSNs) have been increasingly adopted in process automation due to a number of advantages such as cost reduction and enhanced flexibility. Nevertheless, transmission over wireless channels in industrial environments is prone to interference, resulting in frequent erroneous packet deliveries. Existing IWSN standards based on the IEEE 802.15.4 specification only prescribe Automatic Repeat Request (ARQ) for packet retransmission, without providing any means for error recovery, which leads to unexpected transmission delay. Forward Error Correction (FEC) code as an alternative approach is able to effectively improve reliability and reduce the number of retransmissions. However, FEC computation requires extra memory and processing time. In this paper, we discuss the timing constraints of employing FEC codes for IWSNs according to the IWSN standards. Then we benchmark a number of different FEC codes in a typical wireless sensor node in terms of memory consumption and processing time. Our results show that LDPC and Turbo code, as the state of the art FEC codes, fail to fulfill the requirement from the IWSN standards while other FEC candidates, such as RS code, are proven to be suitable for the practical implementation in IWSNs.

Place, publisher, year, edition, pages
2014. 730-755 p.
National Category
Engineering and Technology Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-25185DOI: 10.1109/ICIT.2014.6895022ISI: 000355275500128Scopus ID: 2-s2.0-84907745033ISBN: 9781479939398 (print)OAI: oai:DiVA.org:mdh-25185DiVA: diva2:722123
Conference
IEEE International Conference on Industrial Technology ICIT'14, 26 Feb.- 1 Mar. 2014, Busan, South Korea
Available from: 2014-06-05 Created: 2014-06-05 Last updated: 2015-10-06Bibliographically approved

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CiteExportLink to record
Permanent link

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