• DocumentCode
    1645278
  • Title

    Smart Sensor Metamodel for deep sea observatory

  • Author

    Zein, O.K. ; Champeau, J. ; Kerjean, D. ; Auffret, Yves

  • Author_Institution
    ENSIETA, Brest, France
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Deep sea observatories, based on sensor networks, provide new features to the ocean survey like a continuous observation of the ocean. The sensors used in these observatories provide environment data and also insure new functionalities or services due to the permanent running of this network. The nominal behavior of each sensor must be extended to feet with this concept of deep sea observatory. So in this paper, we present our smart sensor metamodeling approach for deep sea-observatory. This work aims at specifying a Domain Specific Language (DSL) dedicated to smart sensor networks in a goal to model the behavior of the sensor and to produce automatically the software which is embedded in the network infrastructure. This DSL includes three modeling levels of smart sensor: static properties, interface and behavior. The sensor interface provides to observers and scientific researchers a set of services dedicated to ocean measures that the sensor can do, based on internal or external event detections. The sensor behavior permits observers to know how the sensor behaves.
  • Keywords
    geophysics computing; intelligent sensors; oceanographic techniques; specification languages; underwater equipment; Domain Specific Language; deep sea observatory; ocean survey; sensor behavior; sensor interface; smart sensor metamodel; smart sensor network; static property; DSL; Domain specific languages; Embedded software; Event detection; Intelligent sensors; Metamodeling; Observatories; Oceans; Sea measurements; Sensor phenomena and characterization; deep-sea observatory; event detection; sensor description; sensor metamodeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2009 - EUROPE
  • Conference_Location
    Bremen
  • Print_ISBN
    978-1-4244-2522-8
  • Electronic_ISBN
    978-1-4244-2523-5
  • Type

    conf

  • DOI
    10.1109/OCEANSE.2009.5278105
  • Filename
    5278105