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Using Redundancy in a Sensor Network to Compensate Sensor Failures
Örebro University, School of Science and Technology. Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany.
Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany.
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-0804-8637
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-0217-9326
2021 (English)In: 2021 IEEE SENSORS, IEEE , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Wireless sensor networks provide occupational health experts with valuable information about the distribution of air pollutants in an environment. However, especially low-cost sensors may produce faulty measurements or fail completely. Consequently, not only spatial coverage but also redundancy should be a design criterion for the deployment of a sensor network. For a sensor network deployed in a steel factory, we analyze the correlations between sensors and build machine learning forecasting models, to investigate how well the sensor network can compensate for the outage of sensors. While our results show promising prediction quality of the models, they also indicate the presence of spatially very limited events. We, therefore, conclude that initial measurements with, e.g., mobile units, could help to identify important locations to design redundant sensor networks.

Place, publisher, year, edition, pages
IEEE , 2021.
Series
Proceedings of IEEE Sensors, ISSN 1930-0395, E-ISSN 2168-9229
Keywords [en]
environmental monitoring, wireless sensor network, sensor placement, machine learning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-97668DOI: 10.1109/SENSORS47087.2021.9639479ISI: 000755468300033Scopus ID: 2-s2.0-85123610376ISBN: 9781728195018 (electronic)ISBN: 9781728195025 (print)OAI: oai:DiVA.org:oru-97668DiVA, id: diva2:1640648
Conference
20th IEEE Sensors Conference, (Virtual conference), October 31 - November 4, 2021
Note

Funding agency:

SAFeRA

Available from: 2022-02-25 Created: 2022-02-25 Last updated: 2024-01-03Bibliographically approved

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Winkler, Nicolas P.Schaffernicht, ErikLilienthal, Achim J.

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