Vladimir Risojević (Author), Robert Rozman (Author), Ratko Pilipović (Author), Rok Češnovar (Author), Patricio Bulić (Author)

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.

Keywords

monitoring okoljskega hrupa;zaznavanje hrupa;a-uteženje;hardwerska platforma;environmental noise monitoring;noise sensing;a-weighting;hardware platform;wireless sensor network;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FRI - Faculty of Computer and Information Science
UDC: 004
COBISS: 1537843395 Link will open in a new window
ISSN: 1424-8220
Views: 359
Downloads: 167
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary keywords: monitoring okoljskega hrupa;zaznavanje hrupa;A-uteženje;hardwerska platforma;
Type (COBISS): Article
Pages: str. 1-22
Volume: ǂVol. ǂ18
Issue: ǂno. ǂ7
Chronology: 2018
DOI: 10.3390/s18072351
ID: 12688982