Autonomous management and control of sensor network-based applications

DC FieldValueLanguage
dc.contributor.authorRuzzelli, Antonio G.-
dc.contributor.authorMuldoon, Conor-
dc.contributor.authorSchoofs, Anthony-
dc.contributor.authorCampana, Tiziana-
dc.contributor.authorO'Hare, G. M. P. (Greg M. P.)-
dc.contributor.authorTynan, Richard-
dc.date.accessioned2010-01-25T12:42:49Z-
dc.date.available2010-01-25T12:42:49Z-
dc.date.copyright2009 IEEEen
dc.date.issued2009-08-
dc.identifier.isbn978-0-7695-3823-5-
dc.identifier.urihttp://hdl.handle.net/10197/1809-
dc.descriptionPaper presented at the 2nd International Workshop on Adaptation in Wireless Sensor Networks (AWSN-09), in conjunction with The 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC 2009), August 29 - 31, 2009, Vancouver, Canadaen
dc.description.abstractA central challenge facing sensor network research and development is the difficulty in providing effective autonomous management capability. This is due to a large number of parameters to control, unexpected changes of the network topology and dynamic application requirements. Network management is also a challenging task for the remote user due to the large-scale of the network and scarce visibility of live network happenings. Preferably the network should have autonomous decision-making capabilities as network conditions and application requirements changes. To cope with such uncertainties, firstly we consider Octopus, a powerful software tool that provides live information about the network topology and sensor data. At present, the tool can provide monitoring and require a user to control the network state manually. This paper describes how Octopus is reengineered to accommodate a multi-agent system to provide autonomic managing capabilities. In particular, we detail two distinct architectures, the static and mobile agent architectures, which can be effectively applied to deliver autonomous system management. This paper sets the basis for a full autonomous network management via a multi agent system to work with Octopus.en
dc.description.sponsorshipScience Foundation Irelanden
dc.description.uriConference detailsen
dc.description.urihttp://tweb.ing.unipi.it/awsn09/en
dc.format.extent1294910 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherIEEE Computer Societyen
dc.relation.ispartofCSE 2009 : 12th IEEE International Conference on Computational Science and Engineering, 29–31 August 2009 Vancouver, Canada : Volume 2en
dc.subject.lcshWireless sensor networks--Decision makingen
dc.subject.lcshComputer networks--Managementen
dc.subject.lcshIntelligent agents (Computer software)en
dc.titleAutonomous management and control of sensor network-based applicationsen
dc.typeConference Publicationen
dc.internal.availabilityFull text availableen
dc.internal.webversionshttp://dx.doi.org/10.1109/CSE.2009.480-
dc.statusPeer revieweden
dc.identifier.doi10.1109/CSE.2009.480-
dc.neeo.contributorRuzzelli|Antonio G.|aut|-
dc.neeo.contributorMuldoon|Conor|aut|-
dc.neeo.contributorSchoofs|Anthony|aut|-
dc.neeo.contributorCampana|Tiziana|aut|-
dc.neeo.contributorO'Hare|G. M. P. (Greg M. P.)|aut|-
dc.neeo.contributorTynan|Richard|aut|-
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection
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