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Dynamic Random Replication for Data Centric Storage

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorCuevas Rumín, Ángel
dc.contributor.authorUrueña Pascual, Manuel
dc.contributor.authorDe Veciana, Gustavo
dc.date.accessioned2015-02-23T10:43:43Z
dc.date.available2015-02-23T10:43:43Z
dc.date.issued2010-10
dc.descriptionThis work is at: 13th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM' 10), took pkace October, 17-21, 2010, in Bodrum (Turquía). This web site is:http://www.cmpe.boun.edu.tr/mswim2010/en
dc.description.abstractThis paper presents a novel framework for Data Centric Storage in a wireless sensor and actor network that enables the use of a randomly-selected set of data replication nodes which also change over the time. This allows reducing the average network traffic and energy consumption by adapt-ing the number of replicas to applications’ traffic, while bal-ancing energy burdens by varying their location. To that end we propose and validate a simple model to determine the optimal number of replicas, in terms of minimizing av-erage traffic/energy consumption, from the measured ap-plications’ production/consumption traffic. Simple proto-cols/mechanisms are proposed to decide when the current set of replication nodes should be changed, to enable new applications and sensor nodes to efficiently bootstrap into a working sensor network, to recover from failing nodes, and to adapt to changing conditions. Extensive simulations demon-strate that our approach can extend a sensor network’s life-time by at least a 60%, and up to a factor of 10x depending on the lifetime criterion being considered.en
dc.description.sponsorshipThis work was partially supported by NSF Award CNS- 0509355, AFOSR Award FA9550-07-1-0428, IMDEA Networks Madrid, the Spanish government through the T2C2 Project TIN2008-06739-C04-01 and the regional government of Madrid through the MEDIANET project.en
dc.description.statusPublicado
dc.format.extent10
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationProceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (2010), pp. 393-402en
dc.identifier.doi10.1145/1868521.1868587
dc.identifier.isbn978-1-4503-0274-6
dc.identifier.publicationfirstpage393es
dc.identifier.publicationlastpage402es
dc.identifier.publicationtitleProceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systemses
dc.identifier.urihttp://hdl.handle.net/10016/20077
dc.identifier.uxxiCC/0000011765
dc.language.isoeng
dc.publisherAssociation for Computing Machinery
dc.relation.eventdate2010, October, 17-21
dc.relation.eventnumber13
dc.relation.eventplaceTurquía
dc.relation.eventtitleInternational Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM' 10)en
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1468/MEDIANETes
dc.relation.publisherversionhttp://dx.doi.org/10.1145/1868521.1868587
dc.rights© 2010 Association for Computing Machineryen
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherWireless sensor and actor networksen
dc.subject.otherData-Centric Storage (DCS)en
dc.subject.otherRandom Replicationen
dc.subject.otherEpochen
dc.subject.otherOptimizationen
dc.subject.otherWSANen
dc.titleDynamic Random Replication for Data Centric Storageen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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