Next Article in Journal
The Assessment for Sensitivity of a NO2 Gas Sensor with ZnGa2O4/ZnO Core-Shell Nanowires—a Novel Approach
Next Article in Special Issue
Energy-aware Scheduling of Surveillance in Wireless Multimedia Sensor Networks
Previous Article in Journal
Implementation and Evaluation of the WADGPS System in the Taipei Flight Information Region
Previous Article in Special Issue
Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network
Sensors 2010, 10(4), 3023-3056; doi:10.3390/s100403023
Article

Data Centric Storage Technologies: Analysis and Enhancement

* ,
,
 and
Received: 28 January 2010; in revised form: 20 February 2010 / Accepted: 13 March 2010 / Published: 30 March 2010
View Full-Text   |   Download PDF [908 KB, uploaded 21 June 2014]   |   Browse Figures
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 survey; data centric storage; wireless sensor network; quadratic adaptive replication
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


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.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert