An Open Framework for Participatory PM2.5 Monitoring in Smart Cities

Ling Jyh Chen*, Yao Hua Ho, Hu Cheng Lee, Hsuan Cho Wu, Hao Min Liu, Hsin Hung Hsieh, Yu Te Huang, Shih Chun Candice Lung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

146 Citations (Scopus)


As the population in cities continues to increase rapidly, air pollution becomes a serious issue from public health to social economy. Among all pollutants, fine particulate matters (PM2.5) directly related to various serious health concerns, e.g., lung cancer, premature death, asthma, and cardiovascular and respiratory diseases. To enhance the quality of urban living, sensors are deployed to create smart cities. In this paper, we present a participatory urban sensing framework for PM2.5 monitoring with more than 2500 devices deployed in Taiwan and 29 other countries. It is one of the largest deployment project for PM2.5 monitor in the world as we know until May 2017. The key feature of the framework is its open system architecture, which is based on the principles of open hardware, open source software, and open data. To facilitate the deployment of the framework, we investigate the accuracy issue of low-cost particle sensors with a comprehensive set of comparison evaluations to identify the most reliable sensor. By working closely with government authorities, industry partners, and maker communities, we can construct an effective eco-system for participatory urban sensing of PM2.5 particles. Based on our deployment achievements to date, we provide a number of data services to improve environmental awareness, trigger on-demand responses, and assist future government policymaking. The proposed framework is highly scalable and sustainable with the potential to facilitate the Internet of Things, smart cities, and citizen science in the future.

Original languageEnglish
Article number7970115
Pages (from-to)14441-14454
Number of pages14
JournalIEEE Access
Publication statusPublished - 2017 Jul 6


  • Air pollution
  • Internet of Things
  • crowdsourcing
  • environmental monitoring

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering


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