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dc.contributor.authorGong, Nan-Wei
dc.contributor.authorRay, Steve
dc.contributor.authorWare, Gary
dc.contributor.authorLeida, Brett
dc.contributor.authorRen, Tim
dc.contributor.authorLondon, Phil
dc.contributor.authorParadiso, Joseph A.
dc.contributor.authorWare, Laura M.
dc.contributor.authorTurza, Ashley K.
dc.contributor.authorWay, David H.
dc.contributor.authorGlicksman, Leon R.
dc.date.accessioned2013-09-16T20:30:21Z
dc.date.available2013-09-16T20:30:21Z
dc.date.issued2012-10
dc.identifier.isbn978-1-4577-1767-3
dc.identifier.isbn978-1-4577-1766-6
dc.identifier.isbn978-1-4577-1765-9
dc.identifier.urihttp://hdl.handle.net/1721.1/80767
dc.description.abstractWe describe the design and implementation of a dense, low-power wireless sensor network for fine-grained three-dimensional thermal characterization of a large open indoor space. To better understand the airflow dynamics and ensuing energy efficiency potential of this type of modern architectural design, we developed a sustainable wireless mesh network consisting of 50 sensors hung on an array of thin cables in a 210 m[superscript 2], 14.2 m tall atrium for real-time temperature and humidity monitoring. The goal is to create compact wireless measurement sensor blocks for dense coverage in the building. We demonstrate the implementation through a preliminary analysis, which includes the evaluation of temperature distribution discrepancies with computer-simulated results and data taken during natural ventilation to illustrate the nontrivial, well-mixed temperatures observed during the studies.en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Media Laboratoryen_US
dc.description.sponsorshipSchneider Electric (Firm)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICSENS.2012.6411177en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleDense, low-power sensor network for three-dimensional thermal characterization of large-scale atria spacesen_US
dc.typeArticleen_US
dc.identifier.citationGong, Nan-Wei, Laura Ware, Steve Ray, Gary Ware, Brett Leida, Tim Ren, Phil London, et al. “Dense, low-power sensor network for three-dimensional thermal characterization of large-scale atria spaces.” In 2012 IEEE Sensors, 1-4. Institute of Electrical and Electronics Engineers, 2012.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architectureen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.mitauthorGong, Nan-Weien_US
dc.contributor.mitauthorWare, Laura M.en_US
dc.contributor.mitauthorRay, Steveen_US
dc.contributor.mitauthorTurza, Ashley K.en_US
dc.contributor.mitauthorWay, David H.en_US
dc.contributor.mitauthorGlicksman, Leon R.en_US
dc.contributor.mitauthorParadiso, Joseph A.en_US
dc.relation.journal2012 IEEE Sensorsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsGong, Nan-Wei; Ware, Laura; Ray, Steve; Ware, Gary; Leida, Brett; Ren, Tim; London, Phil; Turza, Ashley; Way, David; Glicksman, Leon; Paradiso, Joseph A.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6399-5776
dc.identifier.orcidhttps://orcid.org/0000-0002-0719-7104
mit.licenseOPEN_ACCESS_POLICYen_US


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