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dc.contributor.authorDobson, Simon
dc.contributor.authorCoyle, Lorcan
dc.contributor.authorO'Hare, G. M. P.
dc.contributor.authorHinchey, Mike
dc.date.accessioned2010-10-25T11:00:18Z
dc.date.available2010-10-25T11:00:18Z
dc.date.issued2009-04
dc.identifier.citationDobson , S , Coyle , L , O'Hare , G M P & Hinchey , M 2009 , From physical models to well-founded control . in Proceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems : EASe 2009 . IEEE Computer Society , Los Alamitos , pp. 119-124 . https://doi.org/10.1109/EASe.2009.9en
dc.identifier.isbn978-0-7695-3623-1
dc.identifier.otherPURE: 1498136
dc.identifier.otherPURE UUID: 5b3776fe-d443-44a1-bd54-79bac6b20239
dc.identifier.otherWOS: 000266868100012
dc.identifier.otherScopus: 77950341674
dc.identifier.otherORCID: /0000-0001-9633-2103/work/70234167
dc.identifier.urihttps://hdl.handle.net/10023/1130
dc.description.abstractMobile sensors are an attractive proposition forenvironmental sensing, but pose significant engineering problems. Not leastamongst these is the need to match the behaviour of the sensor platform to thephysical environment in which it operates. We present initial work on using modelsof physical processes to generate models for autonomic control, and speculatethat these can be used to improve the confidence we can place in sensed data.
dc.format.extent6
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartofProceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systemsen
dc.rights(c)2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.subjectWireless sensor networksen
dc.subjectMobile radioen
dc.subjectAutonomic controlen
dc.subjectEnvironmental sensingen
dc.subjectMobile sensorsen
dc.subjectQA76 Computer softwareen
dc.subject.lccQA76en
dc.titleFrom physical models to well-founded controlen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1109/EASe.2009.9
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=77950341674&partnerID=8YFLogxKen


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