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      Design of a Mobile Low-Cost Sensor Network Using Urban Buses for Real-Time Ubiquitous Noise Monitoring

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          Abstract

          One of the main priorities of smart cities is improving the quality of life of their inhabitants. Traffic noise is one of the pollutant sources that causes a negative impact on the quality of life of citizens, which is gaining attention among authorities. The European Commission has promoted the Environmental Noise Directive 2002/49/EC (END) to inform citizens and to prevent the harmful effects of noise exposure. The measure of acoustic levels using noise maps is a strategic issue in the END action plan. Noise maps are typically calculated by computing the average noise during one year and updated every five years. Hence, the implementation of dynamic noise mapping systems could lead to short-term plan actions, besides helping to better understand the evolution of noise levels along time. Recently, some projects have started the monitoring of noise levels in urban areas by means of acoustic sensor networks settled in strategic locations across the city, while others have taken advantage of collaborative citizen sensing mobile applications. In this paper, we describe the design of an acoustic low-cost sensor network installed on public buses to measure the traffic noise in the city in real time. Moreover, the challenges that a ubiquitous bus acoustic measurement system entails are enumerated and discussed. Specifically, the analysis takes into account the feature extraction of the audio signal, the identification and separation of the road traffic noise from urban traffic noise, the hardware platform to measure and process the acoustic signal, the connectivity between the several nodes of the acoustic sensor network to store the data and, finally, the noise maps’ generation process. The implementation and evaluation of the proposal in a real-life scenario is left for future work.

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          Wireless sensor networks: a survey on recent developments and potential synergies

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            Deploying a wireless sensor network on an active volcano

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              Metrics for Polyphonic Sound Event Detection

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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                29 December 2016
                January 2017
                : 17
                : 1
                : 57
                Affiliations
                [1 ]GTM—Grup de recerca en Tecnologies Mèdia, La Salle—Universitat Ramon Llull, Quatre Camins, 30, Barcelona 08022, Spain; falias@ 123456salleurl.edu
                [2 ]DeustoTech—Fundación Deusto, Avda. Universidades, 24, Bilbao 48007, Spain; unai.hernandez@ 123456deusto.es (U.H.-J.); ignacio.angulo@ 123456deusto.es (I.A.)
                [3 ]Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, Bilbao 48007, Spain
                Author notes
                [* ]Correspondence: ralsina@ 123456salleurl.edu ; Tel.: +34-932-902-455
                Article
                sensors-17-00057
                10.3390/s17010057
                5298630
                28036065
                bea08264-fd74-45ee-81d9-1ad205e98ddc
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 September 2016
                : 23 December 2016
                Categories
                Article

                Biomedical engineering
                end,noise mapping,hardware platform,connectivity,acoustic sensing,signal processing,dynamic measurement,ubiquitous,smart city

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