Wireless Acoustic Low-cost Sensor Network for Urban Noise Monitoring
Date Issued
2020-12
Author(s)
Simona Domazetovska, Maja Anachkova, Viktor Gavriloski, Zlatko Petreski
Abstract
The concept of low-cost sensor network based on Internet
of Things (IoT) technology for monitoring environmental
parameters is trendy area of research that has attracted a
lot of scientific attention recently. Amongst the several
pollutant that have to be faced on a daily basis, the noise
pollution is one of the most widely known emerging and
challenging problem in all large metropolitan areas,
affecting the health of citizens in multiple ways. Recent
technologies of low-cost and low-power devices allowed
researchers to develop monitoring Wireless Sensor Units
(WSUs) with wireless network for providing higher
granularity than the traditional hand-held analyzers,
allowing massive noise monitoring. This paper presents
prototyping of low-cost WSUs based on chosen sensor
with different network platforms for noise monitoring and
analysis. The units aim to measure the equivalent noise
level in dB(A) and provide continuous and autonomous
data acquisition. The accuracy of the WSUs are
configured by comparing the results with professional
hand-held analyzer through laboratory and outdoor
evaluation test. This evaluation has shown the devices as
powerful and affordable low-cost units able to publish
results online that could help in increasing the population
awareness for the noise.
of Things (IoT) technology for monitoring environmental
parameters is trendy area of research that has attracted a
lot of scientific attention recently. Amongst the several
pollutant that have to be faced on a daily basis, the noise
pollution is one of the most widely known emerging and
challenging problem in all large metropolitan areas,
affecting the health of citizens in multiple ways. Recent
technologies of low-cost and low-power devices allowed
researchers to develop monitoring Wireless Sensor Units
(WSUs) with wireless network for providing higher
granularity than the traditional hand-held analyzers,
allowing massive noise monitoring. This paper presents
prototyping of low-cost WSUs based on chosen sensor
with different network platforms for noise monitoring and
analysis. The units aim to measure the equivalent noise
level in dB(A) and provide continuous and autonomous
data acquisition. The accuracy of the WSUs are
configured by comparing the results with professional
hand-held analyzer through laboratory and outdoor
evaluation test. This evaluation has shown the devices as
powerful and affordable low-cost units able to publish
results online that could help in increasing the population
awareness for the noise.
Subjects