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Vol. 185, Issue 2, February 2015, pp. 129-139




A Modeling Approach for Marine Observatory

1, 2 Charbel Geryes Aoun, 1 Iyas Alloush, 1 Yvon Kermarrec, 2 Joel Champeau, 3 Oussama Kassem Zein

1 Université Européenne de Bretagne, Telecom Bretagne, Institut Mines-Telecom, UMR CNRS 6285 Lab-STICC
2 Ecole Nationale Supérieure de Techniques Avancées, ENSTA Bretagne, Bretagne France
3 Lebanese University, Faculty of Sciences, Lebanon
E-mail: charbel.aoun@telecom-bretagne.eu, charbel.aoun@ensta-bretagne.fr, iyas.alloush@telecom-bretagne.eu, yvon.kermarrec@telecom-bretagne.eu, joel.champeau@ensta-bretagne.fr, oussama.zein@ul.edu.lb


Received: 14 November 2014 /Accepted: 15 January 2015 /Published: 28 February 2015

Digital Sensors and Sensor Sysstems


Abstract: Infrastructure of Marine Observatory (MO) is an UnderWater Sensor Networks (UW-SN) to perform collaborative monitoring tasks over a given area. This observation should take into consideration the environmental constraints since it may require specific tools, materials and devices (cables, servers, etc.). The logical and physical components that are used in these observatories provide data exchanged between the various devices of the environment (Smart Sensor, Data Fusion). These components provide new functionalities or services due to the long period running of the network. In this paper, we present our approach in extending the modeling languages to include new domain- specific concepts and constraints. Thus, we propose a meta-model that is used to generate a new design tool (ArchiMO). We illustrate our proposal with an example from the MO domain on object localization with several acoustics sensors. Additionally, we generate the corresponding simulation code for a standard network simulator using our self-developed domain-specific model compiler. Our approach helps to reduce the complexity and time of the design activity of a Marine Observatory. It provides a way to share the different viewpoints of the designers in the MO domain and obtain simulation results to estimate the network capabilities.


Keywords: Models, Verification, Simulation, Underwater Object Localization, Marine Observatories, Domain Specific Modeling Language.


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