20.500.12556/RUL-125565 Accurate indoor sound level measurement on a low-power and low-cost wireless sensor node 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. environmental noise monitoring noise sensing A-weighting hardware platform wireless sensor network monitoring okoljskega hrupa zaznavanje hrupa A-uteženje hardwerska platforma true false true Angleški jezik Slovenski jezik Članek v reviji 2021-03-25 14:11:21 2021-03-25 14:11:21 2022-09-05 03:51:23 0000-00-00 00:00:00 2018 0 0 22 str. iss. 7, art. 2351 Vol. 18 2018 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004 1424-8220 10.3390/s18072351 1537843395 10176278 RAZ_Risojevic_Vladimir_2018.pdf RAZ_Risojevic_Vladimir_2018.pdf 1 7E46D5E7781D91011C94054F79787B16 86a47ce258b90aac23a880c6faaa58b4591a97d93fab784aacf422fa7c753212 b9b8ef70-21f3-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149027 http://www.mdpi.com/1424-8220/18/7/2351 1 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=141325 Fakulteta za računalništvo in informatiko 0 0 0