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A Review on Various IOT Analytics Techniques for Air Pollution Detection in Fog Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 169 - Number 2 |
| Year of Publication: 2017 |
| Authors: Ranjit Kaur, Pankaj Deep Kaur |
10.5120/ijca2017914588
|
Ranjit Kaur, Pankaj Deep Kaur . A Review on Various IOT Analytics Techniques for Air Pollution Detection in Fog Computing. International Journal of Computer Applications. 169, 2 ( Jul 2017), 1-4. DOI=10.5120/ijca2017914588
Abstract
Atmospheric contamination has deteriorated the health of plants and animals all over the globe. In particular, pollutants such as benzene(C6H6) has accelerated the rate of cancer among human beings. Therefore, accurate evaluation of the pollutant in the atmosphere is necessary by traffic supervision in urban areas. To reduce atmospheric contamination, an effective mobile strategy planning must be developed. Currently, the atmospheric contamination is measured using spatially scattered networks with limited sensors. Although, these networks and sensors can evaluate the air pollution accurately, however the sensor expenses and size might limit the operational efficiency. In this paper we discuss about the various techniques of IOT and also discuss the detection of air pollution in fog computing. The overall objective of this paper is to detect the air pollution in IOT and we analyze IOT performs better than other techniques.
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