Sensors 2010, 10(4), 3023-3056; doi:10.3390/s100403023

Data Centric Storage Technologies: Analysis and Enhancement

Department of Telematic Engineering, University Carlos III of Madrid Avda. Universidad, 30. 28911. Legan´es-Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 28 January 2010; in revised form: 20 February 2010 / Accepted: 13 March 2010 / Published: 30 March 2010
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Abstract: This paper surveys the most relevant works of Data Centric Storage (DCS) for Wireless Sensor Networks. DCS is a research area that covers data dissemination and storage inside an ad-hoc sensor network. In addition, we present a Quadratic Adaptive Replication (QAR) scheme for DCS, which is a more adaptive multi-replication DCS system and outperforms previous proposals in the literature by reducing the overall network traffic that has a direct impact on energy consumption. Finally, we discuss the open research challenges for DCS.
Keywords: survey; data centric storage; wireless sensor network; quadratic adaptive replication

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MDPI and ACS Style

Rumín, Á.C.; Pascual, M.U.; Ortega, R.R.; López, D.L. Data Centric Storage Technologies: Analysis and Enhancement. Sensors 2010, 10, 3023-3056.

AMA Style

Rumín ÁC, Pascual MU, Ortega RR, López DL. Data Centric Storage Technologies: Analysis and Enhancement. Sensors. 2010; 10(4):3023-3056.

Chicago/Turabian Style

Rumín, Ángel Cuevas; Pascual, Manuel Urueña; Ortega, Ricardo Romeral; López, David Larrabeiti. 2010. "Data Centric Storage Technologies: Analysis and Enhancement." Sensors 10, no. 4: 3023-3056.

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