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A Scalable Smart Lighting Framework to Save Energy

2022Conference object Restricted access
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dc.contributor.authorRebelo, João
dc.contributor.authorRodrigues, Ricardo
dc.contributor.authorHenriques, João
dc.contributor.authorGonçalves Cardoso, Filipe
dc.contributor.authorWanzeller, Cristina
dc.contributor.authorCaldeira, Filipe
dc.date.accessioned2023-07-04T09:24:29Z
dc.date.available2023-07-04T09:24:29Z
dc.date.issued2022
dc.date.updated2023-06-09T13:37:10Z
dc.description.abstractIn the past few decades, the urbanization area increased significantly, requiring enhanced services and applications to improve the lifestyle of its citizens. Lighting is one of the most relevant infrastructures due to its impact on modern societies, but it is also complex to manage them in cities since it involves a massive number of widespread posts and is costly as the result of the consumption of significant amounts of energy. In that regard, this work proposes a scalable framework to manage a significant huge number of lamp posts. Its purpose is to give support to collecting large amounts of sensor data to help to analyze and efficiently fit the light intensity level to the space the posts are covering. Luminosity sensors are used to optimize the intensity of light needed in the urban areas. The proposed framework explores the concept of smart cities by combining the data collected from sensors plugged into IoT (Internet-ofThings) devices. The proposed framework offers the capability to extend and integrate new services to different domains with each other which enhances the quality and performance of urban services. To demonstrate the feasibility of the framework, a simulation was put in place.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-031-14859-0_26pt_PT
dc.identifier.isbn9783031148583
dc.identifier.isbn9783031148590
dc.identifier.issn2194-5357
dc.identifier.issn2194-5365
dc.identifier.slugcv-prod-3037667
dc.identifier.urihttp://hdl.handle.net/10400.19/7842
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer International Publishingpt_PT
dc.subjectSmart citiespt_PT
dc.subjectSmart lightspt_PT
dc.subjectSensorspt_PT
dc.subjectScalabilitypt_PT
dc.titleA Scalable Smart Lighting Framework to Save Energypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage292pt_PT
oaire.citation.startPage286pt_PT
oaire.citation.titleDiTTEt 2022: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligencept_PT
person.familyNameMenoita Henriques
person.familyNameGonçalves Cardoso
person.familyNameWanzeller Guedes de Lacerda
person.familyNameCaldeira
person.givenNameJoão Pedro
person.givenNameFilipe
person.givenNameAna Cristina
person.givenNameFilipe
person.identifierhttps://scholar.google.pt/citations?user=AExQrJwAAAAJ
person.identifierlXPmBvYAAAAJ
person.identifier.ciencia-idBB15-BFE2-17AA
person.identifier.ciencia-id8219-19E8-C070
person.identifier.ciencia-idE81F-11C0-E77C
person.identifier.ciencia-idCB11-8109-AB1D
person.identifier.orcid0000-0001-7380-9511
person.identifier.orcid0000-0002-3916-5182
person.identifier.orcid0000-0001-7558-2330
person.identifier.ridAEP-7290-2022
person.identifier.scopus-author-id57486516500
person.identifier.scopus-author-id36023210300
rcaap.cv.cienciaidCB11-8109-AB1D | Filipe Caldeira
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9b3258cd-a3d1-46f9-bc04-2bdd99d87014
relation.isAuthorOfPublication261d06db-03a3-47d7-960a-727f43c50c9d
relation.isAuthorOfPublicationb353121e-fa46-43fe-b4c0-5e9848084d17
relation.isAuthorOfPublicatione845705e-5b0b-4f70-9c53-c472ffd768d1
relation.isAuthorOfPublication.latestForDiscoverye845705e-5b0b-4f70-9c53-c472ffd768d1

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