A Smart Environment Monitoring Framework Using Big Data and IoT

The impact of air pollution is rapidly increasing, causing a slew of health issues as well as a decline in agricultural productivity, thereby affecting all forms of life. This addresses the need for a smart framework for monitoring air pollution, which promotes a smart environment and can be widely adopted in smart cities. This paper proposes a system for monitoring ambient air quality on roads and tracking vehicles that emit pollution above a predetermined limit by installing a visual Air Quality Meter (AQM) and thus protecting the smart environment. Real-time AQMs installed along roadsides are an effective way of informing the public about air pollution and raising awareness. The paper proposes a method using the Internet of Things (IoT), which can supervise the quality of air contamination at several locations by integrating Electrochemical Toxic Gas Sensors, Radio Frequency Identification (RFID), and IoT devices to solve this problem. The proposed approach also makes use of Big Data techniques to extract insights from patterns, which provides the necessary information to monitor and protect the environment in order to keep it safe and green in the future. This framework also assists in intelligent traffic light control and deviation thereby emission pollutant can be reduced and saves fuel and time. Environmental engineering and IoT technology will also be integrated into the proposed solution. The installation of this technology provides relative air quality data with solutions and suggestions for public display, as well as AQMs to avoid the critical stages. The proposed work is intended to be implemented as a prototype, with the results revealed as an extension of this paper. Given the design and development constraints, this system appears to be more effective in monitoring and achieving a suitable environment and a healthy society for a smart living environment.