IMDEA Networks Institute Publications Repository

Dynamic Random Replication for Data Centric Storage

Cuevas, Ángel and Urueña, Manuel and de Veciana, Gustavo (2010) Dynamic Random Replication for Data Centric Storage. In: The 13th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (ACM MSWIM 2010), 17-21 October 2010, Bodrum, Turkey.

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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.

Item Type: Conference or Workshop Papers (Paper)
Uncontrolled Keywords: Wireless Sensor and Actor Network (WSAN), Data-Centric Storage (DCS), Random Replication, Epoch, Optimization
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Acosta Angel
Date Deposited: 16 Feb 2012 10:11
Last Modified: 04 May 2017 12:04

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