Next Article in Journal
Social Internet of Vehicles for Smart Cities
Previous Article in Journal
Acknowledgement to Reviewers of JSAN in 2015
Article Menu

Export Article

Open AccessArticle
J. Sens. Actuator Netw. 2016, 5(1), 2; doi:10.3390/jsan5010002

Enhanced Distributed Dynamic Skyline Query for Wireless Sensor Networks

1
School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3000, Australia
2
Melbourne Institute of Technology, Melbourne VIC 3000, Australia
3
Department of Computer Science & Engineering, Shahjalal University of Science & Technology, Sylhet-3114, Bangladesh
4
School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3000, Australia
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Stefan Fischer
Received: 16 November 2015 / Revised: 20 January 2016 / Accepted: 28 January 2016 / Published: 3 February 2016
View Full-Text   |   Download PDF [8647 KB, uploaded 3 February 2016]   |  

Abstract

Dynamic skyline query is one of the most popular and significant variants of skyline query in the field of multi-criteria decision-making. However, designing a distributed dynamic skyline query possesses greater challenge, especially for the distributed data centric storage within wireless sensor networks (WSNs). In this paper, a novel Enhanced Distributed Dynamic Skyline (EDDS) approach is proposed and implemented in Disk Based Data Centric Storage (DBDCS) architecture. DBDCS is an adaptation of magnetic disk storage platter consisting tracks and sectors. In DBDCS, the disc track and sector analogy is used to map data locations. A distance based indexing method is used for storing and querying multi-dimensional similar data. EDDS applies a threshold based hierarchical approach, which uses temporal correlation among sectors and sector segments to calculate a dynamic skyline. The efficiency and effectiveness of EDDS has been evaluated in terms of latency, energy consumption and accuracy through a simulation model developed in Castalia. View Full-Text
Keywords: wireless sensor networks; distributed data centric storage; skyline query; sector based distance routing; uniform distribution; lower bound distribution; and upper bound distribution wireless sensor networks; distributed data centric storage; skyline query; sector based distance routing; uniform distribution; lower bound distribution; and upper bound distribution
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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ahmed, K.; Nafi, N.S.; Gregory, M.A. Enhanced Distributed Dynamic Skyline Query for Wireless Sensor Networks. J. Sens. Actuator Netw. 2016, 5, 2.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top