Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework
This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks. DISCOVERY models mobile autonomous underwater vehicles, distributed sensor and actuator nodes, as well as multi-agent data-to-dec...
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| creator | Gerasimov, Vadim Healy, Gerry Prokopenko, Mikhail Wang, Peter Zeman, Astrid |
| description | This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater 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. |
| doi_str_mv | 10.1007/11893011_41 |
| format | Conference Proceeding |
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Management science</topic><topic>Software</topic><topic>Supporter Agent</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gerasimov, Vadim</creatorcontrib><creatorcontrib>Healy, Gerry</creatorcontrib><creatorcontrib>Prokopenko, Mikhail</creatorcontrib><creatorcontrib>Wang, Peter</creatorcontrib><creatorcontrib>Zeman, Astrid</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gerasimov, Vadim</au><au>Healy, Gerry</au><au>Prokopenko, Mikhail</au><au>Wang, Peter</au><au>Zeman, Astrid</au><au>Gabrys, Bogdan</au><au>Jain, Lakhmi C.</au><au>Howlett, Robert J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework</atitle><btitle>Knowledge-Based Intelligent Information and Engineering Systems</btitle><date>2006</date><risdate>2006</risdate><spage>315</spage><epage>323</epage><pages>315-323</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540465421</isbn><isbn>9783540465423</isbn><isbn>3540465359</isbn><isbn>9783540465355</isbn><eisbn>9783540465447</eisbn><eisbn>3540465448</eisbn><abstract>This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks. 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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Knowledge-Based Intelligent Information and Engineering Systems, 2006, p.315-323 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19970329 |
| source | Springer Books |
| subjects | Actuator Network Actuator Node Applied sciences Artificial intelligence Client Program Computer science control theory systems Computer systems and distributed systems. User interface Decision theory. Utility theory Exact sciences and technology Heterogeneous Team Information systems. Data bases Memory organisation. Data processing Operational research and scientific management Operational research. Management science Software Supporter Agent |
| title | Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework |
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