Abstract
The recent expansion of wireless sensor networks (WSN) in urban cities has led to possibility of generation of large amounts of information data from the environmental monitoring systems among which one of the most concerning is the excessive urban noise pollution. As opposed to the conventional noise mapping procedures that involve costly and time-consuming measurement process with a traditional high-priced noise level meter, the low-cost wireless sensor networks provide a method for achieving data collection and analysis with a higher level of granularity. Тhis paper presents a wireless noise sensor unit design for continuous environmental noise level monitoring as a framework for the realization of the Internet of Things (IoT) and „Smart city” concept. The concept involves the complete noise data information system, from sensor structure to data visualization and data analysis. The overall design, characteristics and performance of the sensing system for continuous measuring urban noise pollution is discussed.
Highlights
As a consequence of the intensive centralization of large cities, urban settlements are beginning to expand, reaching extensive levels of noise coming from various sources such as human leisure activities, traffic, construction activities and industry that result in residents’ annoyance and health problems
In [7], a distributed noise measurement system based on Internet of Things (IoT) technology is developed with Raspberry Pi controller nodes and a data collection system based in OpenCPU framework
In study [14], a wireless sensing unit (WSU) that has the same functionality as a handheld sound level meter is exposed
Summary
As a consequence of the intensive centralization of large cities, urban settlements are beginning to expand, reaching extensive levels of noise coming from various sources such as human leisure activities, traffic, construction activities and industry that result in residents’ annoyance and health problems. Conventional noise measurements in urban areas are mainly carried out by professionals that record and analyze noise data at a location of interest using a hand-held sound level meter. The last decade has shown a growing number and wide variety of systems for monitoring environmental noise that can help in getting more insight in often complex noise situations in less time and labor. In these terms, custom built sensor network solutions are designed to be small, inexpensive, low power and autonomous so that it can be deployed pervasively, enabling monitoring in a wide area [1]. According to some industry analysis [2], in 2015 there were between 10 and 20 billion monitoring units or objects connected to the Internet and it is generally estimated that this number achieves 40-50 billion in 2020
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