A High Abstraction Level Constraint for Object Localization in Marine Observatories - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

A High Abstraction Level Constraint for Object Localization in Marine Observatories

Joël Champeau
Loïc Lagadec
Jad Moussa
  • Fonction : Auteur
Elio Hanna
  • Fonction : Auteur

Résumé

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.
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Dates et versions

hal-01653617 , version 1 (01-12-2017)

Identifiants

  • HAL Id : hal-01653617 , version 1

Citer

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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