Abstract
The high risk of air pollution in urban area makes it dangerous for the quality of human life. Monitoring and controlling of physical environments from remote locations with considerable precision is possible with the help of Wireless Sensor Networks (WSNs). Rapid urbanization and heavy usage of vehicles have exacerbated air pollution in the recent years. Monitoring air pollution is convoluted yet a very important task at hand. The exact parameter estimation is needed for the real time air quality monitoring systems and to make quick decisions on timely basis to monitor and control the air quality. Data was traditionally collected periodically which was both costly and time-consuming affair. This complexity can be handled by the use of WSN which helps attain instant readings. A collection of computing elements that connect and interact with each other is referred to as a Cyber Physical System (CPS). Data necessary for monitoring and controlling is routed among the nodes using routing protocols. In this paper, for making the correct decision on route selection, fuzzy logic is employed. Fuzzy logic concept is used to monitor risk of air pollutant on time in the particular industry and area. This work involves the monitoring and validating air control using the CPS method for multicast routing.
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