File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Sensor selection and placement for failure diagnosis in networked aerial robots

TitleSensor selection and placement for failure diagnosis in networked aerial robots
Authors
Kandasamy, NAloul, FAKoo, TJ
KeywordsAd Hoc Sensor Networks
Distributed Systems
Fault Diagnosis
Uav Networks
Issue Date2006
Citation
Proceedings - Ieee International Conference On Robotics And Automation, 2006, v. 2006, p. 2182-2187 How to Cite?
DOI: http://dx.doi.org/10.1109/ROBOT.2006.1642027
AbstractUnmanned aerial vehicles (UAVs) represent an important class of networked robotic applications that must be both highly dependable and autonomous. This paper addresses sensor selection and placement problems for distributed failure diagnosis in such networks where multiple vehicles must agree on the fault status of another UAV. An integer linear programming (ILP) approach is proposed to solve these problems. The ILP models of interest are developed and solved using two different solvers. Experimental results indicate that the proposed models are tractable for medium-sized topologies. ©2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/188710
ISSN
1050-4729
2020 SCImago Journal Rankings: 0.915
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorKandasamy, Nen_US
dc.contributor.authorAloul, FAen_US
dc.contributor.authorKoo, TJen_US
dc.date.accessioned2013-09-03T04:13:37Z-
dc.date.available2013-09-03T04:13:37Z-
dc.date.issued2006en_US
dc.identifier.citationProceedings - Ieee International Conference On Robotics And Automation, 2006, v. 2006, p. 2182-2187en_US
dc.identifier.issn1050-4729en_US
dc.identifier.urihttp://hdl.handle.net/10722/188710-
dc.description.abstractUnmanned aerial vehicles (UAVs) represent an important class of networked robotic applications that must be both highly dependable and autonomous. This paper addresses sensor selection and placement problems for distributed failure diagnosis in such networks where multiple vehicles must agree on the fault status of another UAV. An integer linear programming (ILP) approach is proposed to solve these problems. The ILP models of interest are developed and solved using two different solvers. Experimental results indicate that the proposed models are tractable for medium-sized topologies. ©2006 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - IEEE International Conference on Robotics and Automationen_US
dc.subjectAd Hoc Sensor Networksen_US
dc.subjectDistributed Systemsen_US
dc.subjectFault Diagnosisen_US
dc.subjectUav Networksen_US
dc.titleSensor selection and placement for failure diagnosis in networked aerial robotsen_US
dc.typeConference_Paperen_US
dc.identifier.emailKoo, TJ: john.koo@siat.ac.cnen_US
dc.identifier.authorityKoo, TJ=rp01787en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ROBOT.2006.1642027en_US
dc.identifier.scopuseid_2-s2.0-33845636573en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33845636573&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume2006en_US
dc.identifier.spage2182en_US
dc.identifier.epage2187en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridKandasamy, N=16068485200en_US
dc.identifier.scopusauthoridAloul, FA=6601962378en_US
dc.identifier.scopusauthoridKoo, TJ=7005428590en_US
dc.identifier.issnl1050-4729-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats