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Accurate indoor sound level measurement on a low-power and low-cost wireless sensor node
ID Risojević, Vladimir (Author), ID Rozman, Robert (Author), ID Pilipović, Ratko (Author), ID Češnovar, Rok (Author), ID Bulić, Patricio (Author)

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Abstract
Wireless sensor networks can provide a cheap and flexible infrastructure to support the measurement of noise pollution. However, the processing of the gathered data is challenging to implement on resource-constrained nodes, because each node has its own limited power supply, low-performance and low-power micro-controller unit and other limited processing resources, as well as limited amount of memory. We propose a sensor node for monitoring of indoor ambient noise. The sensor node is based on a hardware platform with limited computational resources and utilizes several simplifications to approximate more complex and costly signal processing stage. Furthermore, to reduce the communication between the sensor node and a sink node, as well as the power consumed by the IEEE 802.15.4 (ZigBee) transceiver, we perform digital A-weighting filtering and non-calibrated calculation of the sound pressure level on the node. According to experimental results, the proposed sound level meter can accurately measure the noise levels of up to 100 dB, with the mean difference of less than 2 dB compared to Class 1 sound level meter. The proposed device can continuously monitor indoor noise for several days. Despite the limitations of the used hardware platform, the presented node is a promising low-cost and low-power solution for indoor ambient noise monitoring.

Language:English
Keywords:environmental noise monitoring, noise sensing, A-weighting, hardware platform, wireless sensor network
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
Publication status:Published
Publication version:Version of Record
Year:2018
Number of pages:22 str.
Numbering:Vol. 18, iss. 7, art. 2351
PID:20.500.12556/RUL-125565 This link opens in a new window
UDC:004
ISSN on article:1424-8220
DOI:10.3390/s18072351 This link opens in a new window
COBISS.SI-ID:1537843395 This link opens in a new window
Publication date in RUL:25.03.2021
Views:855
Downloads:257
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:19.07.2018

Secondary language

Language:Slovenian
Keywords:monitoring okoljskega hrupa, zaznavanje hrupa, A-uteženje, hardwerska platforma

Projects

Funder:Other - Other funder or multiple funders
Funding programme:Ministry of Science and Technology of the Republic of Srpska
Project number:19/6-020/961-37/15

Funder:ARRS - Slovenian Research Agency
Project number:P2-0359
Name:Vseprisotno računalništvo

Funder:ARRS - Slovenian Research Agency
Project number:BI-BA/16-17-029

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