Detection and Monitoring of Gaseous Pollutants Using Raspberry-Pi with AWS IoT Cloud

Pollution has a major role in depleting air system. The health risks of air pollution are extremely serious. The Internet of Things (IOT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. The IOT concerns the connection of physical devices (cars, thermostats, smart phones, home lighting, tide sensors, smart meters, etc.) to the Internet. There are more devices connected to the Internet than people on the planet, and the prediction is that there will be 50 billion IOT devices by 2020.In previous papers, to integrate sensors with cloud computing and IOT, other authors have opted for ZigBee hybrid network connected to a Wi-Fi or Ethernet gateway. The main objective of this paper is to implement IOT to measure the pollution of public transports using MQ-135 Raspberry PI which is sensitive for Carbon Monoxide. Global Positioning System (GPS) is implemented in Raspberry PI which would find the location of the transport vehicle. The amount of Carbon Monoxide emitted is sensed once in (say 20km) and also the locality of vehicle is used for finding the area which is polluted the most. These are then integrated to the Amazon Cloud IOT which is more securable and many services of AWS can be used along with it. This would enable a Simple Notification Service (SNS) to the mobile phone when the vehicle is causing higher level of pollutants.