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GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing

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GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing

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dc.contributor.author Zamora-Mero, Willian Jesus es_ES
dc.contributor.author Vera, Elsa es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.date.accessioned 2019-05-31T20:45:24Z
dc.date.available 2019-05-31T20:45:24Z
dc.date.issued 2018 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121389
dc.description.abstract [EN] Noise pollution is an emerging and challenging problem of all large metropolitan areas, affecting the health of citizens in multiple ways. Therefore, obtaining a detailed and real-time map of noise in cities becomes of the utmost importance for authorities to take preventive measures. Until now, these measurements were limited to occasional sampling made by specialized companies, that mainly focus on major roads. In this paper, we propose an alternative approach to this problem based on crowdsensing. Our proposed architecture empowers participating citizens by allowing them to seamlessly, and based on their context, sample the noise in their surrounding environment. This allows us to provide a global and detailed view of noise levels around the city, including places traditionally not monitored due to poor accessibility, even while using their vehicles. In the paper, we detail how the different relevant issues in our architecture, i.e., smartphone calibration, measurement adequacy, server design, and client¿server interaction, were solved, and we have validated them in real scenarios to illustrate the potential of the solution achieved. es_ES
dc.description.sponsorship This work was partially supported by Valencia's Traffic Management Department, by the "Ministerio de Economia y Competitividad, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I + D + I 2014", Spain, under Grant TEC2014-52690-R, and the "Universidad Laica Eloy Alfaro de Manabi, and the Programa de Becas SENESCYT" de la Republica del Ecuador. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//TEC2014-52690-R/ES/INTEGRACION DEL SMARTPHONE Y EL VEHICULO PARA CONECTAR CONDUCTORES, SENSORES Y ENTORNO A TRAVES DE UNA ARQUITECTURA DE SERVICIOS FUNCIONALES/ es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Mobile crowdsensing es_ES
dc.subject Smartphone es_ES
dc.subject Machine learning es_ES
dc.subject Noise-sensing es_ES
dc.subject Smart cities es_ES
dc.subject Weka es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s18082596 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Zamora-Mero, WJ.; Vera, E.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2018). GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing. Sensors. 18(8):1-25. https://doi.org/10.3390/s18082596 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3390/s18082596 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 25 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 8 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 30096788
dc.identifier.pmcid PMC6111839
dc.relation.pasarela S\367336 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES


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