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