Opportunistic PM2.5 Sensing: A Feasibility Study

Sachit Mahajan, Hao Min Liu, Tzu Yu Huang, Tzu Chieh Tsai, Ling Jyh Chen

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we present an energy, data and cost efficient model for mobile opportunistic PM2.5 sensing via bicycles. To facilitate the implementation of such systems, we first investigate the accuracy issue of different Inertial Monitoring Unit (IMU) built into the Arduino 101 for stop detection. Then, by curve fitting and optimization calculation on system parameter tuning and modeling, each sensor could start up at the optimum time in order to achieve minimum energy consumption and maximum data usability. Also we propose a formula that can count the minimum number of required PM2.5 sensors under the condition of total experiment time spent and total expected number of sampling point. Finally, we conduct a field experiment to evaluate the proposed model in a real world setting. The results show that total time spent of PM2.5 data collection is similar to the expected time derived from the system modeling.

原文英語
主出版物標題2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-6
頁數6
ISBN(電子)9781509050192
DOIs
出版狀態已發佈 - 2017 七月 1
事件2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, 新加坡
持續時間: 2017 十二月 42017 十二月 8

出版系列

名字2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
2018-January

其他

其他2017 IEEE Global Communications Conference, GLOBECOM 2017
國家新加坡
城市Singapore
期間2017/12/042017/12/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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