This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing under-water sensor and actuator networks. DISCOVERY models mobile autonomous underwater vehicles, distributed sensor and actuator nodes, as well as multi-agent data-to-decision integration. The simulator is a real-time system using a discrete action model, fractal-based terrain modelling, with 3D visualization and an evaluation mode, allowing to compute various objective functions and metrics. The quantitative measures of multi-agent dynamics can be used as a feedback for evolving the agent behaviors. An evaluation of a simple simulated scenario with a heterogeneous team is also described. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Gerasimov, V., Healy, G., Prokopenko, M., Wang, P., & Zeman, A. (2006). Symbiotic sensor networks in complex underwater terrains: A simulation framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4253 LNAI-III, pp. 315–323). Springer Verlag. https://doi.org/10.1007/11893011_41
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