• DocumentCode
    473312
  • Title

    Environmental Tomography: Ubiquitous Sensing with Mobile Devices

  • Author

    Patterson, Stacy ; Bamieh, Bassam ; El Abbadi, Amr

  • Author_Institution
    Dept. of Comput. Sci., Univ. of California, Santa Barbara, CA
  • fYear
    2008
  • fDate
    7-12 April 2008
  • Firstpage
    1560
  • Lastpage
    1563
  • Abstract
    The ubiquitous nature of mobile phones, which are location-aware devices, presents a unique platform for large-scale computing applications. In particular, if mobile phones are coupled with sensors, they can be used for detection and monitoring of environmental phenomena such as pollution and radiation. In this demonstration, we present environmental tomography, a system for ubiquitous environmental sensing with mobile devices. Aggregate sensor measurements are collected by the devices along fixed paths such as roads, and these aggregates are used to reconstruct an estimate of the distribution of the underlying physical phenomenon. Our system is robust to the dynamic characteristics of mobile networks and also preserves the privacy of mobile user locations. We demonstrate a prototype that generates estimate distributions from user specified data collection paths and underlying data distributions. The accuracy of the reconstructed distributions is illustrated both numerically and graphically.
  • Keywords
    environmental engineering; mobility management (mobile radio); tomography; ubiquitous computing; data collection paths; data distributions; environmental phenomena detection; environmental phenomena monitoring; environmental tomography; large-scale computing; location-aware devices; mobile devices; mobile phones; mobile user location privacy; sensor measurements; ubiquitous sensing; Aggregates; Computer applications; Large-scale systems; Mobile handsets; Pervasive computing; Pollution; Radiation detectors; Radiation monitoring; Sensor phenomena and characterization; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-1836-7
  • Electronic_ISBN
    978-1-4244-1837-4
  • Type

    conf

  • DOI
    10.1109/ICDE.2008.4497621
  • Filename
    4497621