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Seventh International Conference on Simulation Tools and Techniques

Research Article

CupCarbon: A Multi-Agent and Discrete Event Wireless Sensor Network Design and Simulation Tool

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  • @INPROCEEDINGS{10.4108/icst.simutools.2014.254811,
        author={Kamal Mehdi and Massinissa Lounis and Ahcene Bounceur and Tahar Kechadi},
        title={CupCarbon: A Multi-Agent and Discrete Event Wireless Sensor Network Design and Simulation Tool},
        proceedings={Seventh International Conference on Simulation Tools and Techniques},
        publisher={ICST},
        proceedings_a={SIMUTOOLS},
        year={2014},
        month={8},
        keywords={wireless sensor network simulator multi-agent system discrete event simulation openstreetmap mobility},
        doi={10.4108/icst.simutools.2014.254811}
    }
    
  • Kamal Mehdi
    Massinissa Lounis
    Ahcene Bounceur
    Tahar Kechadi
    Year: 2014
    CupCarbon: A Multi-Agent and Discrete Event Wireless Sensor Network Design and Simulation Tool
    SIMUTOOLS
    ICST
    DOI: 10.4108/icst.simutools.2014.254811
Kamal Mehdi1, Massinissa Lounis2, Ahcene Bounceur3, Tahar Kechadi1
  • 1: School of Computer Science & Informatics University College of Dublin, Belfield, Dublin 4, Ireland
  • 2: LIMED Laboratory University of Bejaia, Bejaia, Algeria
  • 3: Lab-STICC Laboratory Universiy of Brest, Brest, France

Abstract

This paper presents the first version of a Wireless Sensor Network simulator, called CupCarbon. It is a multiagent and discrete event Wireless Sensor Network (WSN) simulator. Networks can be designed and prototyped in an ergonomic user-friendly interface using the OpenStreetMap (OSM) framework by deploying sensors directly on the map. It can be used to study the behaviour of a network and its costs. The main objectives of CupCarbon are both educational and scientific. It can help trainers to explain the basic concepts and how sensor networks work and it can help scientists to test their wireless topologies, protocols, etc. The current version can be used only to study the power diagram of each sensor and the overall network. The power diagrams can be calculated and displayed as a function of the simulated time. Prototyping networks is more realistic compared to existing simulators.

Keywords
wireless sensor network simulator multi-agent system discrete event simulation openstreetmap mobility
Published
2014-08-18
Publisher
ICST
http://dx.doi.org/10.4108/icst.simutools.2014.254811
Copyright © 2014–2025 ICST
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