Next Article in Journal
Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm
Previous Article in Journal
Localization in Wireless Sensor Networks and Anchor Placement
J. Sens. Actuator Netw. 2012, 1(1), 59-85; doi:10.3390/jsan1010059
Review

Techniques and Challenges of Data Centric Storage Scheme in Wireless Sensor Network

 and *
Received: 19 April 2012; in revised form: 28 May 2012 / Accepted: 4 June 2012 / Published: 12 June 2012
View Full-Text   |   Download PDF [425 KB, uploaded 12 June 2012]   |   Browse Figures
Abstract: Storing, collecting and querying data across miniaturized battery powered Wireless Sensor Networks (WSN) is a key research focus today. Distributed Data-Centric Storage (DCS), an alternate to External Storage (ES) and Local Storage (LS), is thought to be a promising and efficient storage and search mechanism. There has been a growing interest in understanding and optimizing WSN DCS schemes in recent years, where the range query mechanism, similarity search, load balancing, multi-dimensional data search, as well as limited and constrained resources have driven this line of research. In this paper, an extensive state-of-the-art study is provided including the prime WSN DCS schemes, challenges that inspired these schemes, as well as drawbacks and shortcomings of existing solutions. In contrast to previous surveys that briefly discuss the contribution of a few WSN DCS mechanisms, we provide a thematic taxonomy in which schemes are classified according to the problems dealt with including range query, similarity search, data aggregation, sensor network field non-uniformity, multi-replication, load balancing and routing algorithm.
Keywords: Greedy Perimeter Stateless Routing; Distributed Hash Table; Data Centric Storage; spatial temporal similarity search; range queries; multi-replication; non-uniformity of sensor network field; Load Balanced Data Centric Storage; Geographic Hash Table Greedy Perimeter Stateless Routing; Distributed Hash Table; Data Centric Storage; spatial temporal similarity search; range queries; multi-replication; non-uniformity of sensor network field; Load Balanced Data Centric Storage; Geographic Hash Table
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

Ahmed, K.; Gregory, M.A. Techniques and Challenges of Data Centric Storage Scheme in Wireless Sensor Network. J. Sens. Actuator Netw. 2012, 1, 59-85.

AMA Style

Ahmed K, Gregory MA. Techniques and Challenges of Data Centric Storage Scheme in Wireless Sensor Network. Journal of Sensor and Actuator Networks. 2012; 1(1):59-85.

Chicago/Turabian Style

Ahmed, Khandakar; Gregory, Mark A. 2012. "Techniques and Challenges of Data Centric Storage Scheme in Wireless Sensor Network." J. Sens. Actuator Netw. 1, no. 1: 59-85.


J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert