Abstract
Nowadays, the technology advancement has made significant improvement in pollution control and environmental protection for the society. This paper proposes the detection of on-road vehicle emissions through Green IoT by collecting the exhaust emissions from gas sensors using embedded system incorporated with wireless sensor network. The proposed wireless sensor system uses a wireless sensor together with the active LoRa module to track vehicle emissions based on Green IoT. Gas sensors that are connected with Node MCU embedded with LoRa areused for communication between vehicles and Road Side Unit [1]. These RSU are embedded with Raspberry Pi and LoRA device for data accumulation, if the emission level exceeds the threshold limit from the given standards defined by PUC authorities, then the vehicle information will be captured and owner details will be sent to nearest traffic signal post connected with Amazon Web Service (AWS) IoT Cloud and Relational Database Service (RDS) and alert will be sent to vehicle owner.
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Makhija, J., Nakkeeran, M., Anantha Narayanan, V. (2021). Detection of Vehicle Emissions Through Green IoT for Pollution Control. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_76
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DOI: https://doi.org/10.1007/978-981-15-8221-9_76
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