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Detecting Communication Blackout in Industrial Wireless Sensor Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
ABB AB, Corporate Research, Sweden.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
2016 (English)In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS, 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 onthe problem of blackout detection with specific interest for the WirelessHART standard, introducing a Blackout Detection Service (BDS) expressly addressed to multi-hop periodic communicationwith 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 smalland temporary network issues and serious blackout scenarios, opening the field for recovery strategies.

Place, publisher, year, edition, pages
2016. article id 7496502
Keywords [en]
WSN, reliability, real-time, networks
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-27752DOI: 10.1109/WFCS.2016.7496502ISI: 000382857300008Scopus ID: 2-s2.0-84982833586Local ID: STCISBN: 978-1-5090-2339-4 (print)OAI: oai:DiVA.org:miun-27752DiVA, id: diva2:930154
Conference
12th IEEE World Conference on Factory Communication Systems, WFCS 2016; Aveiro; Portugal; 3 May 2016 through 6 May 2016; Category numberCFP16WFC-ART; Code 122676
Projects
ASIS
Funder
Knowledge FoundationAvailable from: 2016-05-23 Created: 2016-05-23 Last updated: 2018-01-10Bibliographically approved

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Grimaldi, SimoneGidlund, MikaelBarac, Filip

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CiteExportLink to record
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