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
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