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Communication dans un congrès

A High Abstraction Level Constraint for Object Localization in Marine Observatories

Joël Champeau 1, 2 Loïc Lagadec 2, 1 Charbel Geryes Aoun 1, 2 Jad Moussa Elio Hanna
1 Lab-STICC_ENSTAB_ CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Pôle STIC_IDM
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
Abstract : A sensor network is a specific type of network that consists of a set of distributed sensors with a main objective to observe and analyze its environment. Therefore, an underwater sensor network can be defined as a sensor network deployed underwater that monitors underwater activity. The sensors de- ployed, such as Hydrophones, are responsible for registering underwater activity and transfer it to more advanced components. The process of data exchange between the aforementioned com- ponents perfectly define the Marine Observatory (MO) concept. The first step towards the implementation of this concept is defining the environmental constraints and the required tools and components (Marine Cables, Specific Servers, etc). The logical and physical components that are used in these observatories supply interchange procedures between the various devices of the environment (Smart Sensors, Data Fusion Servers). In this paper, we present an extension to our already extended Meta- Model that is used to generate a new design tool (ArchiMO). Thus, we propose new constraints to be taken under consideration at design time. We illustrate our proposal with an example from the MO domain. Additionally, we generate the corresponding simulation code using our self-developed domain-specific model compiler. Our approach helps to reduce the complexity and time of the design activity.
Type de document :
Communication dans un congrès
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https://hal.archives-ouvertes.fr/hal-01653617
Contributeur : Annick Billon-Coat <>
Soumis le : vendredi 1 décembre 2017 - 16:22:17
Dernière modification le : mercredi 24 juin 2020 - 16:19:51

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  • HAL Id : hal-01653617, version 1

Citation

Joël Champeau, Loïc Lagadec, Charbel Geryes Aoun, Jad Moussa, Elio Hanna. A High Abstraction Level Constraint for Object Localization in Marine Observatories. CSCI 2017, Dec 2017, Las Vegas, United States. ⟨hal-01653617⟩

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