1st International ICST Conference on Robot Communication and Coordination

Research Article

Toward Multi-Level Modeling of Robotic Sensor Networks: A Case Study in Acoustic Event Monitoring

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  • @INPROCEEDINGS{10.4108/ICST.ROBOCOMM2007.2275,
        author={Christopher M Cianci and Thomas  Lochmatter and Jim  Pugh and Alcherio  Martinoli},
        title={Toward Multi-Level Modeling of Robotic Sensor Networks: A Case Study in Acoustic Event Monitoring},
        proceedings={1st International ICST Conference on Robot Communication and Coordination},
        proceedings_a={ROBOCOMM},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/ICST.ROBOCOMM2007.2275}
    }
    
  • Christopher M Cianci
    Thomas Lochmatter
    Jim Pugh
    Alcherio Martinoli
    Year: 2010
    Toward Multi-Level Modeling of Robotic Sensor Networks: A Case Study in Acoustic Event Monitoring
    ROBOCOMM
    ICST
    DOI: 10.4108/ICST.ROBOCOMM2007.2275
Christopher M Cianci1,*, Thomas Lochmatter1,*, Jim Pugh1,*, Alcherio Martinoli1,*
  • 1: Swarm-Intelligent Systems Group, Ecole Polytechnique Federale de Lausanne, CH-1015 Lausanne, Switzerland.
*Contact email: chris.cianci@epfl.ch, thomas.lochmatter@epfl.ch, jim.pugh@epfl.ch, alcherio.martinoli@epfl.ch

Abstract

Modeling and simulation can be powerful tools for analyzing multi-agent systems, such as networked robotic systems and sensor networks. In this paper, it is shown concretely how instances of both these elements fit into a general methodology for multi-level modeling, providing insight into system dynamics. Use of the resulting general framework is illustrated through application to a specific sample case study involving a robotic wireless sensor network engaged in an acoustic detection task. We then compare and contrast the resulting family of models, highlighting explicitly the trade-off between realism and simplicity.