RT Conference Proceedings
T1 Dynamic Random Replication for Data Centric Storage
A1 Cuevas Rumín, Ángel
A1 Urueña Pascual, Manuel
A1 De Veciana, Gustavo
AB This paper presents a novel framework for Data Centric Storage in a wireless sensor and actor network that enables the use of arandomly-selected set of data replication nodes which also change over the time. This allows reducing the average networktraffic and energy consumption by adapt-ing the number of replicas to applications’ traffic, while bal-ancing energy burdens byvarying their location. To that end we propose and validate a simple model to determine the optimal number of replicas, interms 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 enablenew applications and sensor nodes to efficiently bootstrap into a working sensor network, to recover from failing nodes, and toadapt to changing conditions. Extensive simulations demon-strate that our approach can extend a sensor network’s life-timeby at least a 60%, and up to a factor of 10x depending on the lifetime criterion being considered.
PB Association for Computing Machinery
SN 978-1-4503-0274-6
YR 2010
FD 2010-10
LK http://hdl.handle.net/10016/20077
UL http://hdl.handle.net/10016/20077
LA eng
NO 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/
NO This work was partially supported by NSF Award CNS-0509355, AFOSR Award FA9550-07-1-0428, IMDEA NetworksMadrid, the Spanish government through the T2C2Project TIN2008-06739-C04-01 and the regional governmentof Madrid through the MEDIANET project.
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