@inproceedings{5dc8723e29d44c27809bb1facfebc0f5,
title = "Symbiotic sensor networks in complex underwater terrains: A simulation framework",
abstract = "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.",
author = "Vadim Gerasimov and Gerry Healy and Mikhail Prokopenko and Peter Wang and Astrid Zeman",
year = "2006",
language = "English",
isbn = "3540465421",
volume = "4253 LNAI - III",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "315--323",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings",
address = "United States",
note = "10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 ; Conference date: 09-10-2006 Through 11-10-2006",
}