Real-Time Nitrogen Dioxide Pollutant Monitoring In Lagos State, Nigeria Using Wireless Sensor Networks.

Abstract

Wireless Sensor Networks (WSNs) find its application in various facets of life. Atmospheric contamination in the various elements of air leading to hazardous effects of global warming and acid rains can affect the well-being of a population. An air pollution monitoring system is therefore important to keep away from such adverse imbalance in nature. In the proposed paper, an attempt is made to develop a real time pollution monitoring using wireless sensor networks (WSN). This WSN will monitor the profile concentration of nitrogen dioxide (NO2) in a chosen location. With the rapid growth in the industries, which are the main sources of air pollutants, the problem of air pollution is becoming a serious concern for the health of the population. The concentration of one major air pollutant gases Nitrogen dioxide (NO2) from the air is sensed by the gas sensors. The sensor is properly calibrated as per the standard methods and the gas sensor is then incorporated with the wireless sensor motes using hierarchical cluster-based architecture.The node is expected to sense pollutants, convert, and process the magnitude of pollution to equivalent data output which is transmitted to the remote base station. The expected results would show data of the Nitrogen dioxide sensor for each location and graphical results. Research and suggestions have been offered by researchers for two decades and more on the increasing dangers of industrialization, population growth, influx of used vehicles popularly called ‘tokunbos’ as they pertain to the public health and adverse effects if not properly managed. The test findings of this work would show if the concentration of gaseous air pollutant like NO2 in a chosen location at a particular time poses a problem to humans and the environment. Keywords— Air pollution, Wireless sensor networks, Nitrogen dioxide, Environmental risk, public health, Hierarchical cluster-based architecture