Symbiotic sensor networks in complex underwater terrains

A simulation framework

Vadim Gerasimov*, Gerry Healy, Mikhail Prokopenko, Peter Wang, Astrid Zeman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
Place of PublicationGuildford, UK
PublisherSpringer, Springer Nature
Pages315-323
Number of pages9
Volume4253 LNAI - III
ISBN (Print)3540465421, 9783540465423
Publication statusPublished - 2006
Externally publishedYes
Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom
Duration: 9 Oct 200611 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4253 LNAI - III
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
CountryUnited Kingdom
CityBournemouth
Period9/10/0611/10/06

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  • Cite this

    Gerasimov, V., Healy, G., Prokopenko, M., Wang, P., & Zeman, A. (2006). Symbiotic sensor networks in complex underwater terrains: A simulation framework. In Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings (Vol. 4253 LNAI - III, pp. 315-323). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4253 LNAI - III). Guildford, UK: Springer, Springer Nature.