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Noise Pollution Measurement System using Wireless Sensor Network and BAN sensors

Abstract:

At the present time, noise pollution is a phenomenon that affects millions of people around the world. It causes several inconveniences due to automotive traffic, airplanes, construction equipment, factories, personal noise, and others. Noise pollution is an unpleasant noise created by people, electronic devices, or mechanical elements. Noise pollution has negative consequences to human health such as hearing loss, stress, blood pressure changes, migraine, and insomnia, nervous system problems, productivity limitations, mental health problems, and other difficulties. This paper presents the design and development process of a Noise Pollution Measurement System which integrates a Wireless Sensor Network (WSN) and a Body Access Network (BAN) capable of measuring noise pollution levels as well as monitoring its health effects on humans. The WSN and BAN network developed in this paper can be implemented by government entities on a large scale to identify the risks of uncontrolled noise levels and its effects on the health of humans. All the data collected by the sensors can be processed, stored and analyzed at a centralized government data center, where authorities can have access to real-time information and statistical data, allowing them to make smart decisions and corrective actions in a short amount of time.