Automated Pollution Detection System using IoT and AWS Cloud
A Sheryl Oliver1, M. Anuradha2, J. Ramya3
1A.Sheryl Oliver, Department of CSE, St. Joseph’s College of Engineering, Chennai, India.
2M.Anuradha, Department of CSE, St. Joseph’s College of Engineering, Chennai, India.
3J. Ramya, Department of CSE, St. Joseph’s College of Engineering, Chennai, India.
Manuscript received on 23 August 2019. | Revised Manuscript received on 05 September 2019. | Manuscript published on 30 September 2019. | PP: 3955-3960 | Volume-8 Issue-11, September 2019. | Retrieval Number: K21250981119/2019©BEIESP | DOI: 10.35940/ijitee.K2125.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Smart cities are one of the upcoming trends in the world. These smart cities include smart traffic light system, smart cars, smart homes, smart traffic monitoring system. As environmental pollution has become the major cause of various problems like climatic changes, improper irrigation methods, depletion of the ozone layer etc. “Automated Pollution Detection System using IoT and AWS Cloud” provides an architecture for integrating IoT and Cloud Computing and an application which is used to detect air pollution by fitting in arduino devices at public places like traffic lights, industrial areas, construction areas etc., and transferring the data using GSM modem to a cloud database server AWS RDS. The cloud server is linked with the EC2 instance (Ubuntu server) in order to publish the web application using EC2. Web Application which is created using Word press and a Mobile application using Android Studio. The Web application shows the value of pollutant at a particular place along with the map facility by using GPS in the Arduino. This is also linked to a mobile application which sends a push notification service (SNS) to our mobile application.
Keywords: Amazon AWS, EC2instance, Word press, Arduino, AWS RDS.
Scope of the Article: Automated Software Design and Synthesis