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Article: AIS based distributed wireless sensor network for mobile search and rescue robot tracking

TitleAIS based distributed wireless sensor network for mobile search and rescue robot tracking
Authors
KeywordsArtificial Immune Systems
Humanitarian Search And Rescue
Robotics
Wireless Sensor Networks
Issue Date2009
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1570-1166
Citation
Journal Of Mathematical Modelling And Algorithms, 2009, v. 8 n. 2, p. 227-242 How to Cite?
AbstractThis research presents the implementation of GSCF, an AIS-based control framework, on a distributed wireless sensor network for tracking search and rescue robots in open fields. The General Suppression Control Framework (GSCF) is a framework inspired by the suppression hypothesis of the immune discrimination theory. The framework consists of five distinct components; each carries a specific function that can generate long-term and short-term influences to other components by the use of humoral and cellular signals. The goal of the research is to develop mathematical models that can assist the control and analyses of robots behavior through the use of Suppressor Cells in the Suppression Modulator. Acquire data from the physical robot will be used as simulation parameters in future search and rescue research. © 2009 Springer Science+Business Media B.V.
Persistent Identifierhttp://hdl.handle.net/10722/158821
ISSN
2015 SCImago Journal Rankings: 0.414
References

 

DC FieldValueLanguage
dc.contributor.authorKo, Aen_US
dc.contributor.authorLau, HYKen_US
dc.contributor.authorLee, NMYen_US
dc.date.accessioned2012-08-08T09:03:27Z-
dc.date.available2012-08-08T09:03:27Z-
dc.date.issued2009en_US
dc.identifier.citationJournal Of Mathematical Modelling And Algorithms, 2009, v. 8 n. 2, p. 227-242en_US
dc.identifier.issn1570-1166en_US
dc.identifier.urihttp://hdl.handle.net/10722/158821-
dc.description.abstractThis research presents the implementation of GSCF, an AIS-based control framework, on a distributed wireless sensor network for tracking search and rescue robots in open fields. The General Suppression Control Framework (GSCF) is a framework inspired by the suppression hypothesis of the immune discrimination theory. The framework consists of five distinct components; each carries a specific function that can generate long-term and short-term influences to other components by the use of humoral and cellular signals. The goal of the research is to develop mathematical models that can assist the control and analyses of robots behavior through the use of Suppressor Cells in the Suppression Modulator. Acquire data from the physical robot will be used as simulation parameters in future search and rescue research. © 2009 Springer Science+Business Media B.V.en_US
dc.languageengen_US
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1570-1166en_US
dc.relation.ispartofJournal of Mathematical Modelling and Algorithmsen_US
dc.subjectArtificial Immune Systemsen_US
dc.subjectHumanitarian Search And Rescueen_US
dc.subjectRoboticsen_US
dc.subjectWireless Sensor Networksen_US
dc.titleAIS based distributed wireless sensor network for mobile search and rescue robot trackingen_US
dc.typeArticleen_US
dc.identifier.emailKo, A:albertko@hku.hken_US
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_US
dc.identifier.authorityKo, A=rp00124en_US
dc.identifier.authorityLau, HYK=rp00137en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s10852-009-9105-5en_US
dc.identifier.scopuseid_2-s2.0-67349149116en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67349149116&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume8en_US
dc.identifier.issue2en_US
dc.identifier.spage227en_US
dc.identifier.epage242en_US
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridKo, A=22334217900en_US
dc.identifier.scopusauthoridLau, HYK=7201497761en_US
dc.identifier.scopusauthoridLee, NMY=24773557900en_US
dc.identifier.citeulike4150172-

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