Dynamic Random Replication for Data Centric Storage

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dc.contributor.author Cuevas Rumín, Ángel
dc.contributor.author Urueña Pascual, Manuel
dc.contributor.author De Veciana, Gustavo
dc.date.accessioned 2015-02-23T10:43:43Z
dc.date.available 2015-02-23T10:43:43Z
dc.date.issued 2010-10
dc.identifier.bibliographicCitation Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (2010), pp. 393-402
dc.identifier.isbn 978-1-4503-0274-6
dc.identifier.uri http://hdl.handle.net/10016/20077
dc.description This 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/
dc.description.abstract This 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.
dc.description.sponsorship This 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.
dc.format.extent 10
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Association for Computing Machinery
dc.rights © 2010 Association for Computing Machinery
dc.subject.other Wireless sensor and actor networks
dc.subject.other Data-Centric Storage (DCS)
dc.subject.other Random Replication
dc.subject.other Epoch
dc.subject.other Optimization
dc.subject.other WSAN
dc.title Dynamic Random Replication for Data Centric Storage
dc.type conferenceObject
dc.type bookPart
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1145/1868521.1868587
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1145/1868521.1868587
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1468/MEDIANET
dc.type.version acceptedVersion
dc.relation.eventdate 2010, October, 17-21
dc.relation.eventnumber 13
dc.relation.eventplace Turquía
dc.relation.eventtitle International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM' 10)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 393
dc.identifier.publicationlastpage 402
dc.identifier.publicationtitle Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems
dc.identifier.uxxi CC/0000011765
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