Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14210
DC FieldValueLanguage
dc.contributor.authorJalsan, Khash Erdene-
dc.contributor.authorSoman, Rohan N.-
dc.contributor.authorFlouri, Kallirroi-
dc.contributor.authorKyriakides, Marios-
dc.contributor.authorFeltrin, Glauco-
dc.contributor.authorOnoufriou, Toula-
dc.date.accessioned2019-07-01T08:04:25Z-
dc.date.available2019-07-01T08:04:25Z-
dc.date.issued2014-01-01-
dc.identifier.citationSmart Structures and Systems, 2014, vol. 14, no.1, pp. 39-54en_US
dc.identifier.issn17381584-
dc.description.abstractNode layout optimization of structural wirelesssystems is investigated as a means to prolong the network lifetime without, if possible, compromising information quality of the measurement data. The trade-off between these antagonisticobjectivesis studied within a multi-objective layout optimization framework.A Genetic Algorithm is adopted to obtain a set of Pareto-optimal solutions from which the end user can select the final layout. The information quality of the measurement data collected from aheterogeneous WSNis quantified fromthe placement qualityindicators of strain and acceleration sensors. The network lifetime or equivalently the network energy consumption is estimated throughWSNsimulation that provides realistic results bycapturing the dynamics of thwireless communication protocols. A layout optimization study of a monitoring system on the Great Belt Bridge is conducted to evaluate the proposed approach.The placement quality of strain gauges and accelerometersis obtainedas a ratio of the Modal Clarity Index and Mode Shape Expansion values that are computed from a Finite Element model of the monitored bridge. To estimate the energy consumption of the WSN platform in a realistic scenario, we use adiscrete-event simulator with stochastic communication models. Finally, we compare the optimizationresults with those obtained in a previous work where the network energy consumption is obtained viadeterministic communication models. Copyright © 2014 Techno-Press, Ltd.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofSmart Structures and Systemsen_US
dc.rights© Techno Pressen_US
dc.subjectDiscrete-event simulationen_US
dc.subjectEnergy estimationen_US
dc.subjectMulti-objective layout optimizationen_US
dc.subjectSHMen_US
dc.subjectWSNen_US
dc.titleLayout optimization of wireless sensor networks for structuralhealth monitoringen_US
dc.typeArticleen_US
dc.collaborationSwiss Federal Laboratories for Materials Science and Technologyen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countrySwitzerlanden_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.12989/sss.2014.14.1.039en_US
dc.identifier.scopus2-s2.0-84905964537-
dc.dept.handle123456789/148-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84905964537-
dc.relation.issue1en_US
dc.relation.volume14en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage39en_US
dc.identifier.epage54en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn1738-1991-
crisitem.journal.publisherTechno-Press-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8240-9226-
crisitem.author.orcid0000-0002-3361-1567-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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