• DocumentCode
    2294087
  • Title

    Accessing and Processing Sensing Data

  • Author

    Pastorello, Gilberto Z. ; Medeiros, C.B. ; Santanche, Andre

  • Author_Institution
    IC-UNICAMP, Campinas
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    353
  • Lastpage
    360
  • Abstract
    Scientific models are increasingly dependent on processing large volumes of streamed sensing data from a wide range of sensors, from ground based to satellite embarked infrareds. The proliferation, variety and ubiquity of those devices have added new dimensions to the problem of data handling in computational models. This raises several issues, one of which - providing means to access and process these data - is tackled by this paper. Our solution involves the design and implementation of a framework for sensor data management, which relies on a specific component technology - digital content component (DCC). DCCs homogeneously encapsulate individual sensors, sensor networks and sensor data archival files. They also implement facilities for controlling data production, integration and publication. As a result, developers need not concern themselves with sensor particularities, dealing instead with uniform interfaces to access data, regardless of the nature of the data providers.
  • Keywords
    data handling; wireless sensor networks; data archival files; data handling; data integration; data production; data streaming; digital content component; satellite embarked infrareds; sensing data processing; sensor data management; sensor networks; Computational modeling; Computer network management; Crops; Data processing; Energy management; Middleware; Optical computing; Sampling methods; Sensor fusion; Sensor phenomena and characterization; sensor data; sensor networks; uniform data access;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-0-7695-3193-9
  • Type

    conf

  • DOI
    10.1109/CSE.2008.23
  • Filename
    4578253