{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T14:57:08Z","timestamp":1776783428899,"version":"3.51.2"},"reference-count":50,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2018,8,8]],"date-time":"2018-08-08T00:00:00Z","timestamp":1533686400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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\u2013server interaction, were solved, and we have validated them in real scenarios to illustrate the potential of the solution achieved.<\/jats:p>","DOI":"10.3390\/s18082596","type":"journal-article","created":{"date-parts":[[2018,8,9]],"date-time":"2018-08-09T03:33:48Z","timestamp":1533785628000},"page":"2596","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0215-4460","authenticated-orcid":false,"given":"Willian","family":"Zamora","sequence":"first","affiliation":[{"name":"Department of Computer Engineering (DISCA), Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"},{"name":"Faculty of Computer Science (FACCI), Universidad Laica Eloy Alfaro de Manab\u00ed, 130802 Manta, Ecuador"}]},{"given":"Elsa","family":"Vera","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering (DISCA), Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"},{"name":"Faculty of Computer Science (FACCI), Universidad Laica Eloy Alfaro de Manab\u00ed, 130802 Manta, Ecuador"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5729-3041","authenticated-orcid":false,"given":"Carlos T.","family":"Calafate","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering (DISCA), Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0038-0539","authenticated-orcid":false,"given":"Juan-Carlos","family":"Cano","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering (DISCA), Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3753-0403","authenticated-orcid":false,"given":"Pietro","family":"Manzoni","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering (DISCA), Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2018,8,8]]},"reference":[{"key":"ref_1","unstructured":"NIOSH (2016, June 30). 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