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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22588
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dc.contributor.authorMagill, Evanen_UK
dc.contributor.authorBlum, Jesseen_UK
dc.date.accessioned2016-09-06T20:35:00Z-
dc.date.available2016-09-06T20:35:00Z-
dc.date.issued2016-04en_UK
dc.identifier.urihttp://hdl.handle.net/1893/22588-
dc.description.abstractThis paper addresses rule conflicts within wireless sensor networks. The work is situatedwithin psychiatric ambulatory assessment settings where patients are monitored in andaround their homes. Detecting behaviours within these settings favours sensor networks,while scalability and resource concerns favour processing data on smart nodes incorporatingrule engines. Such monitoring involves personalisation, thereby becoming important toprogram node rules on the fly. Since rules may originate from distinct sources and changeover time, methods are required to maintain rule consistency. Drawing on lessons fromFeature Interaction, the paper contributes novel approaches for detecting and resolving rule-conflict across sensor networks.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationMagill E & Blum J (2016) Exploring conflicts in rule-based Sensor Networks. Pervasive and Mobile Computing, 27, pp. 133-154. https://doi.org/10.1016/j.pmcj.2015.08.005en_UK
dc.rightsThis article is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectRule-based systemsen_UK
dc.subjectRun-time programmingen_UK
dc.subjectFeature interactionsen_UK
dc.subjectRule conflicten_UK
dc.titleExploring conflicts in rule-based Sensor Networksen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.pmcj.2015.08.005en_UK
dc.citation.jtitlePervasive and Mobile Computingen_UK
dc.citation.issn1574-1192en_UK
dc.citation.volume27en_UK
dc.citation.spage133en_UK
dc.citation.epage154en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.author.emailehm@cs.stir.ac.uken_UK
dc.citation.date31/08/2015en_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Nottinghamen_UK
dc.identifier.isiWOS:000373525900010en_UK
dc.identifier.scopusid2-s2.0-84951193117en_UK
dc.identifier.wtid583898en_UK
dc.contributor.orcid0000-0003-0505-406Xen_UK
dc.date.accepted2015-08-13en_UK
dcterms.dateAccepted2015-08-13en_UK
dc.date.filedepositdate2016-05-04en_UK
dc.relation.funderprojectEnabling health, independence and wellbeing for Psychiatric patients through personalised ambient Monitoring (PAM)en_UK
dc.relation.funderrefEP/F003684/1en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMagill, Evan|0000-0003-0505-406Xen_UK
local.rioxx.authorBlum, Jesse|en_UK
local.rioxx.projectEP/F003684/1|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266en_UK
local.rioxx.freetoreaddate2016-05-04en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2016-05-04|en_UK
local.rioxx.filenameMagill and Blum_PMC_2016.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1574-1192en_UK
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