International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 24 |
Year of Publication: 2023 |
Authors: S. Varshney, P. Maheshwari, R. Shamim, M. Salim Beg |
10.5120/ijca2023922996 |
S. Varshney, P. Maheshwari, R. Shamim, M. Salim Beg . A Cloud Integrated RFID based System for Vehicular Pollution Monitoring. International Journal of Computer Applications. 185, 24 ( Jul 2023), 1-7. DOI=10.5120/ijca2023922996
Internet of Things (IoT) aims to connect billions of smart devices to the internet. This promises many new applications for sustainable and smart cities. Vehicular pollution tracking and control is a challenge in modern cities. In the previous works, researchers have proposed various network based solutions for monitoring of air quality in cities. However, majority of these works do not include vehicular pollution monitoring. There is a need for a quick, reliable, low cost system for vehicular pollution tracking. In this regard, Internet of Things (IoT) integrated Radio Frequency Identification (RFID) is a promising solution for vehicular pollution tracking and control. This paper presents a novel and cost-effective RFID based three stage intelligent communication system for tracking and notification of vehicles causing pollution. The system has an RFID based smart sensor node equipped with carbon monoxide and methane gas sensors. The sensor data is written in RFID tag by Arduino Uno controlled RFID writer. RC522 RFID reader/ writer module used in this work is low cost and supports quick (848 kbaud data transfer speed) and secure data transmission. A raspberry pi microcomputer is programmed as exhaust monitoring and data forwarding gateway node. It reads the unique sensor node RFID tag via the attached RFID reader. The sensor information received by the gateway node is communicated via WiFi to thingSpeak server for each vehicle. The thingSpeak server stores and displays the information and sends automatic twitter notification to the vehicle owner