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Multimetric Event-Driven System for Long-Term Wireless Sensor Operation for SHM Applications

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dc.contributor.authorSarwar, Muhammad Zohaib-
dc.contributor.authorSaleem, Muhammad Rakeh-
dc.contributor.authorPark, Jong-Woong-
dc.contributor.authorMoon, Do-Soo-
dc.contributor.authorKim, Dong Joo-
dc.date.available2020-08-03T05:20:33Z-
dc.date.issued2020-05-15-
dc.identifier.issn1530-437X-
dc.identifier.issn1558-1748-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/42664-
dc.description.abstractWireless sensor networks (WSNs) are promising solutions for large infrastructure monitoring because of their ease of installation, computing and communication capability, and cost-effectiveness. Long-term Civil structural health monitoring (SHM), however, is still a challenge because it requires continuous data acquisition for the detection of random events such as earthquakes and structural collapse. To achieve long-term operation, it is necessary to reduce the power consumption of sensor nodes designed to capture random events and, thus, enhance structural safety. In this paper, we present an event-based sensing system design based on an ultra-low-power microcontroller with programmable event-detection mechanism to allow continuous monitoring; the device is triggered by vibration, strain, or a timer and has a programmed threshold, resulting in ultra-low-power consumption of the sensor node. Furthermore, the proposed system can be easily reconfigured to any existing wireless sensor platform to enable ultra-low power operation. For validation, the proposed system was integrated with a commercial wireless platform to allow strain, acceleration, and time-based triggering with programmed thresholds and current consumptions of 7.43 and 0.85 mA in active and inactive modes, respectively.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleMultimetric Event-Driven System for Long-Term Wireless Sensor Operation for SHM Applications-
dc.typeArticle-
dc.identifier.doi10.1109/JSEN.2020.2970710-
dc.identifier.bibliographicCitationIEEE SENSORS JOURNAL, v.20, no.10, pp 5350 - 5359-
dc.description.isOpenAccessN-
dc.identifier.wosid000528845200030-
dc.identifier.scopusid2-s2.0-85083994323-
dc.citation.endPage5359-
dc.citation.number10-
dc.citation.startPage5350-
dc.citation.titleIEEE SENSORS JOURNAL-
dc.citation.volume20-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorStructural monitoring-
dc.subject.keywordAuthorevent-detection system-
dc.subject.keywordAuthorlong-term monitoring-
dc.subject.keywordAuthorpower management-
dc.subject.keywordAuthorsensor systems-
dc.subject.keywordAuthorwireless smart sensor-
dc.subject.keywordPlusBRIDGE-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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공과대학 (건설환경플랜트공학)
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