• DocumentCode
    151836
  • Title

    Air quality data collection and processing platform

  • Author

    Rizea, Daniel-Octavian ; Olteanu, Alexandru-Corneliu ; Tudose, Dan-Stefan

  • Author_Institution
    Comput. Sci. & Eng. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2014
  • fDate
    11-13 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The degree of pollution in the atmosphere is increasing, leading to more and more people being affected by breathing health issues. However, people are increasingly aware of the need to monitor their environment. We propose a platform that leverages a Wearable Sensor Device and Mobile Devices to collect large amounts of air quality data on a central Real-Time Data Processing System that can process all this information, aggregate it and disseminate it back to the users in relevant way. We design and develop Wearable Sensor Devices that are capable of measuring CO2, NO and particulate matter. We design and develop a Mobile Application that pulls data from the sensor device in an energy friendly way, described by our Adaptive Query Algorithm, and pushes it in the central processing system. We present a real-time processing platform for Wireless Sensor Networks that satisfies the characteristics of scalability, fault tolerance and real-time processing needed to serve as our central processing system.
  • Keywords
    air quality; carbon compounds; environmental science computing; medical computing; mobile computing; nitrogen compounds; wireless sensor networks; CO2; NO; adaptive query algorithm; air quality data collection; air quality data processing platform; breathing health issues; central processing system; central real-time data processing system; fault tolerance; mobile application; mobile devices; real-time processing platform; wearable sensor device; wireless sensor networks; Data processing; Mobile handsets; Monitoring; Pollution measurement; Real-time systems; Storms; Wearable sensors; aggregation; air pollution; query; sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RoEduNet Conference 13th Edition: Networking in Education and Research Joint Event RENAM 8th Conference, 2014
  • Conference_Location
    Chisinau
  • ISSN
    2068-1038
  • Print_ISBN
    978-1-4799-6860-2
  • Type

    conf

  • DOI
    10.1109/RoEduNet-RENAM.2014.6955318
  • Filename
    6955318