Open AccessAir Pollution Monitoring and Prediction using Multi View Hybrid Model
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f1277.0486s419
Subject(s) - pollution , computer science , air pollution , global positioning system , air quality index , real time computing , base station , wireless sensor network , environmental science , meteorology , telecommunications , computer network , geography , ecology , chemistry , organic chemistry , biology
Pollution monitoring system is used to monitor the air pollution throughout the city, which cause pollution over a specified limit. The sensor nodes are attached to the lamp post. The sensors are organized into clusters and form a mesh network of nodes that provide both single hop and multihop connectivity with the base station. The GPS enabled sensor nodes finds location in order to detect the pollution occurring place. A hybrid model is proposed in this work which combines the spatial and temporal features for prediction. This model use the real time air quality information in a city by measuring the pollution information using sensors and data sets.