Title page for etd-0712115-092345


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URN etd-0712115-092345
Author Guan-wei Chen
Author's Email Address No Public.
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Department Computer Science and Engineering
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Efficient Collection Mechanism Measuring Urban Air Quality by
Vehicular Sensor Networks
Date of Defense 2015-07-27
Page Count 55
Keyword
  • air quality analysis
  • cost evaluation
  • urban air pollution monitoring
  • participatory sensing
  • vehicular sensor networks
  • Abstract Obtaining real-time air quality information in urban area has received considerable attention in recent years due to the awareness of the health care. Nowadays, it is easier for public to participate in collecting data and monitoring air quality anytime by smartphones and cellular networks. Also, the massive traffic in city and functional sensors carried by vehicles help develop vehicular sensor networks. Therefore, we consider using vehicular sensor network to assist in collecting air quality information. However, the pollutant concentration would vary dramatically or smoothly, depending on the weather and the quantity of pollutant. On the other hand, vehicles’ movement would be affected by traffic signs or events on the road. Motivated by the above two observations, this paper proposes a data-collection adjustment method for vehicular sensor networks. In order to ensure the monitor quality and reduce the unnecessary data collection, our method asks vehicles to collect more data in the area with dramatically varies concentration, and allows them to collect less data in the area with smoothly varies concentration. Finally, we use the simulations of the vehicle behavior and the dispersion model of pollutant to analyze and verify our method. The result shows that our method can not only effectively reduce the cost but also ensure the monitoring quality.
    Advisory Committee
  • Bing-Hong Liu - chair
  • Huang-Chen Lee - co-chair
  • Chun-Hung Lin - co-chair
  • You-Chiun Wang - advisor
  • Files
  • etd-0712115-092345.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2015-08-12

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