• Ritu Pathak

In the development of modern intelligent cities, correctly collecting data on air pollution is a significant issue for inhabitants. More sensors are being placed on mobile terminals, and several individuals are collaborating with the Internet to distribute sensing jobs and collect sensing data in order to complete large-scale and complex social awareness tasks; this process is known as crowdsensing. The traditional monitoring method, fixed base stations, is inflexible and inaccurate. On the other hand, crowdsensing provides new answers to those problems and enables more people to participate. Various air quality monitoring techniques have been proposed in many studies thus far. After reading and classifying these articles, it is assess the disadvantages as well as benefits of these systems, and also their similarities and variances. Finally, we address research challenges in order to provide resources for future researchers interested in the field.

Air Quality, Monitoring, Crowdsensing, Pollution.

"A Review of a Crowd-sensing-Based Air Quality Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.295-299, February-2019, Available :http://www.jetir.org/papers/JETIRFJ06062.pdf

"A Review of a Crowd-sensing-Based Air Quality Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp295-299, February-2019, Available at : http://www.jetir.org/papers/JETIRFJ06062.pdf