Abstract In the process of modern intelligent cities, how to effectively collect data on air pollution is a very important issue for citizens. Nowadays, more sensors deployed on mobile terminals, and lots of users use these mobile devices to cooperate with the Internet to realize sensing task distribution and sensing data collection, so as to complete large-scale and complex social awareness tasks, generally, this process is called crowdsensing. The traditional monitoring method is to use fixed base stations, which lacks flexibility and precision. On the other hand, crowdsensing provides new ideas for solving those problems, and more people can participate in it. So far, many studies have proposed different systems to monitor air quality. We review these articles and categorize the systems, then, we compare these systems and analyze their disadvantages and disadvantages, similarities and differences. Finally, we present the challenges of research to provide a reference for new researchers entering the field.


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