A Low-cost Wireless Acoustic Sensor Network for the Classification of Urban Sounds

Author(s):  
David Salvo ◽  
Gema Piñero ◽  
Pau Arce ◽  
Alberto Gonzalez
2021 ◽  
pp. 108199
Author(s):  
Pau Arce ◽  
David Salvo ◽  
Gema Piñero ◽  
Alberto Gonzalez

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2119
Author(s):  
Ester Vidaña-Vila ◽  
Joan Navarro ◽  
Cristina Borda-Fortuny ◽  
Dan Stowell ◽  
Rosa Ma Alsina-Pagès

Continuous exposure to urban noise has been found to be one of the major threats to citizens’ health. In this regard, several organizations are devoting huge efforts to designing new in-field systems to identify the acoustic sources of these threats to protect those citizens at risk. Typically, these prototype systems are composed of expensive components that limit their large-scale deployment and thus reduce the scope of their measurements. This paper aims to present a highly scalable low-cost distributed infrastructure that features a ubiquitous acoustic sensor network to monitor urban sounds. It takes advantage of (1) low-cost microphones deployed in a redundant topology to improve their individual performance when identifying the sound source, (2) a deep-learning algorithm for sound recognition, (3) a distributed data-processing middleware to reach consensus on the sound identification, and (4) a custom planar antenna with an almost isotropic radiation pattern for the proper node communication. This enables practitioners to acoustically populate urban spaces and provide a reliable view of noises occurring in real time. The city of Barcelona (Spain) and the UrbanSound8K dataset have been selected to analytically validate the proposed approach. Results obtained in laboratory tests endorse the feasibility of this proposal.


Proceedings ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Alexandra Labairu-Trenchs ◽  
Rosa Alsina-Pagès ◽  
Ferran Orga ◽  
Maria Foraster

The improvement of the quality of life in the framework of the smart city paradigm cannot be limited to measuring objective environmental factors, but should also consider the assessment of the citizens’ health. Road traffic noise has been widely studied in terms of citizens’ annoyance and its impact on health, but other types of urban noise are usually outside of those analyses. Each node of a wireless acoustic sensor network can pick up street noise and can even record specific sounds that reach a higher equivalent level for study, but the most important thing for administration is whether certain types of noise annoy the citizen. In this work, we present the analysis and the selection of several audio samples collected by a wireless acoustic sensor network in an urban environment in order to conduct perceptive tests by several users. This a first approximation to the evaluation of the real perception of citizens’ annoyance with respect to the urban noise collected by a low-cost wireless acoustic sensor network.


2018 ◽  
Vol 7 (S1) ◽  
pp. 46-49
Author(s):  
C. Sudha . ◽  
D. Suresh . ◽  
A. Nagesh .

Wireless Sensor Networks (WSNs) within the zone time regulate to greater enticing and develop their manner into massive variance of exercise in distinctive domains. Elevation in wireless sensor network technology provide the affability of small and low cost sensor nodes with the adequacy of sensing, processing, computing the physical and surroundings circumstances. Due to inhibition in transmission range, processing and power resources it is considered necessary to design awesome and energy aware protocol to increase network lifetime. Routing strategies are developing to boom life cycle of sensor network and increase throughput performance. This paper gives, an analysis of various routing strategies used in wireless sensor networks in addition importance of cluster based routing, and varieties of cluster, type of cluster based routing are discussed. The observe concludes with the issues and the resent researchers on cluster based routing.


2010 ◽  
Vol 44-47 ◽  
pp. 1651-1655
Author(s):  
Chang Chen ◽  
Ping Song ◽  
Da Ming Pei ◽  
Ke Jie Li

The emergency of wireless sensor network provides a distributed, low cost and flexible solution for acoustic localization system. Location precision is a critical parameter for this system. In this paper, we use True Time, which is a Matlab/Simulink co-simulation block library to establish a simulation environment and establish a relationship between localization precision and PRR (Package Reception Rate). With the PRR decreasing, the AOA precision is get lager. Hence, in a given spatially deployed sensor network location system, the location precision will get larger. Therefore, the PRR should be controlled in a rational level, which is depended on the trade-off between performance and efficiency.


Proceedings ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 11 ◽  
Author(s):  
Rosa Alsina-Pagès ◽  
Pau Bergadà

The improvement of the quality of life in the framework of the smart city paradigm cannot be limited to a set of objective measures carried out over several critical parameters (e.g., noise, air pollution). The citizen’s perception of the problem to be solved, as well as the perception of the improvement achieved with the policies defined for this purpose are more important than the objectivity and the measurement of the change achieved. A first auralization approach for the evaluation of the acoustic perception of street noise is presented in this work. The wireless acoustic sensor network can pick up street noise and can even record specific sounds that reach a higher equivalent level for study, but the most important thing for administration is whether the neighbor has noticed an improvement in the quality of life. This work is a first approximation to an estimation of the real perception of citizens of the street urban noises collected by a low-cost wireless acoustic sensor network.


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