Air Quality Data Sender Using IOT

Abstract

Traditionally, pollution measurements are performed using expensive equipment at fixed locations or dedicated mobile equipment laboratories. This is a coarse-grained and expensive approach where the pollution measurements are few and far in between. In this paper, a approach for measuring fine-grained air quality in real-time. The propose for two cost effective data farming models – one that can be deployed on public transportation. This paper presents preliminary techniques and discuss implementation challenges and early experiments.