Low-Cost Distributed Acoustic Sensor Network for Real-Time Urban Sound Monitoring

Electronics

卷:9

Cristina Borda-Fortuny¹  Joan Navarro¹  Ester Vidaña-Vila²  Rosa Ma Alsina-Pagès²  Dan Stowell³ 

[1] GRITS–Grup de Recerca en Internet Techologies and Storage, 08022 Barcelona, Spain;

[2] GTM–Grup de Recerca en Tecnologies Mèdia, 08022 Barcelona, Spain;

[3] Machine Listening Lab, Centre for Digital Music, Queen Mary University of London, London E1 4NS, UK;

关键词: ubiquitous acoustic sensor network;    distributed consensus;    acoustic propagation;    noise management;    isotropic radiation pattern planar antenna;    acoustic event detection;   

DOI  :  10.3390/electronics9122119

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown