Enhanced distributed dynamic skyline query for wireless sensor networks

Ahmed, K, Nafi, N and Gregory, M 2016, 'Enhanced distributed dynamic skyline query for wireless sensor networks', Journal of Sensor and Actuator Networks, vol. 5, no. 1, 2, pp. 1-22.

Document type: Journal Article
Collection: Journal Articles

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Title Enhanced distributed dynamic skyline query for wireless sensor networks
Author(s) Ahmed, K
Nafi, N
Gregory, M
Year 2016
Journal name Journal of Sensor and Actuator Networks
Volume number 5
Issue number 1
Article Number 2
Start page 1
End page 22
Total pages 22
Publisher MDPI AG
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.
Subject Wireless Communications
Data Communications
Computer Communications Networks
Keyword(s) Wireless sensor networks
Distributed data centric storage
Skyline query
Sector based distance routing
Uniform distribution
Lower bound distribution
Upper bound distribution
DOI - identifier 10.3390/jsan5010002
Copyright notice © 2016 by the authors; licensee MDPI, Basel, Switzerland open access article distributed under the Creative Commons Attribution License
ISSN 2224-2708
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
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