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Detecting communication blackout in industrial Wireless Sensor Networks
Mid Sweden University, Västerås, Sweden.
Mid Sweden University, Västerås, Sweden.
ABB AB Corporate Research, Västerås, Sweden.ORCID iD: 0000-0002-2902-7819
Mid Sweden University, Västerås, Sweden.
2016 (English)In: 2016 IEEE World Conference on Factory Communication Systems (WFCS): Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2016, article id 7496502Conference paper, Published paper (Refereed)
Abstract [en]

Communication blackout is one of the most serious pitfalls of Wireless Sensor Networks (WSN) in industrial automation context. The industrial radio channel exhibits pronounced effects of multipath fading and wireless LAN (WLAN) interference that can potentially lead to temporary communication failures, as well as complete isolation of network devices. The current IWSN standards adopt known countermeasures to cope with the harshness of the radio channel, but they lack solutions specifically oriented to detect blackouts and self-recover the communication fulfilling hard deadline constraints. In this work we focus on the problem of blackout detection with specific interest for the WirelessHART standard, introducing a Blackout Detection Service (BDS) expressly addressed to multi-hop periodic communication with sensors and actuators. The BDS monitors end-to-end acknowledgement messages and builds specific metrics to promptly identify communication outages, enabling three criticality classes. The algorithm is tested in the ns-2 network simulator and results show that the proposed system is able to detect blackout events with reaction delays of the order of 4-5 times the refresh rate of nodes and to discriminate between small and temporary network issues and serious blackout scenarios, opening the field for recovery strategies.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. article id 7496502
Keywords [en]
WSN, reliability, real-time, networks
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:oru:diva-65228DOI: 10.1109/WFCS.2016.7496502ISI: 000382857300008Scopus ID: 2-s2.0-84982833586ISBN: 978-1-5090-2339-4 (electronic)OAI: oai:DiVA.org:oru-65228DiVA, id: diva2:1185592
Conference
12th IEEE World Conference on Factory Communication Systems (WFCS 2016), Aveiro, Portugal, May 3-6, 2016
Projects
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Funder
Knowledge FoundationAvailable from: 2018-02-26 Created: 2018-02-26 Last updated: 2018-08-31Bibliographically approved

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Lennvall, Tomas

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CiteExportLink to record
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Citation style
  • apa
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