An Energy-Efficient Method for Processing a <I>k</I>-Dominant Skyline Query in Wireless Sensor Networks

Choon Seo PARK; Su Min JANG; Jae Soo YOO

doi:10.1587/transcom.E96.B.1857

An Energy-Efficient Method for Processing a k-Dominant Skyline Query in Wireless Sensor Networks

Choon Seo PARK, Su Min JANG, Jae Soo YOO

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Recently, environmental monitoring applications or home automation systems often deal with wireless sensor data. These applications deal with multi-dimensional sensing data and most processing operations involves skyline queries. In this paper, we focus on skyline queries in WSNs. However, as the number of data dimensions increases, the results of skyline queries become unmanageably large which reduces the lifetime of the sensor network. To solve these problems, we propose a novel k-dominant skyline query processing method using filtering mechanisms. The filter is designed by considering the data property and the data transmission cost. Extensive experiments show that our proposed method results in significant performance improvements over the existing method.

Publication: IEICE TRANSACTIONS on Communications Vol.E96-B No.7 pp.1857-1864

Publication Date: 2013/07/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E96.B.1857

Type of Manuscript: PAPER

Category: Network

Authors

Choon Seo PARK
  Electronics and Telecommunications Research Institute (ETRI)
Su Min JANG
  Electronics and Telecommunications Research Institute (ETRI)
Jae Soo YOO
  Chungbuk National University

Keyword

wireless sensor network, k-dominant skyline query, energy efficiency

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Choon Seo PARK, Su Min JANG, Jae Soo YOO, "An Energy-Efficient Method for Processing a k-Dominant Skyline Query in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E96-B, no. 7, pp. 1857-1864, July 2013, doi: 10.1587/transcom.E96.B.1857.
Abstract: Recently, environmental monitoring applications or home automation systems often deal with wireless sensor data. These applications deal with multi-dimensional sensing data and most processing operations involves skyline queries. In this paper, we focus on skyline queries in WSNs. However, as the number of data dimensions increases, the results of skyline queries become unmanageably large which reduces the lifetime of the sensor network. To solve these problems, we propose a novel k-dominant skyline query processing method using filtering mechanisms. The filter is designed by considering the data property and the data transmission cost. Extensive experiments show that our proposed method results in significant performance improvements over the existing method.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.1857/_p

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@ARTICLE{e96-b_7_1857,
author={Choon Seo PARK, Su Min JANG, Jae Soo YOO, },
journal={IEICE TRANSACTIONS on Communications},
title={An Energy-Efficient Method for Processing a k-Dominant Skyline Query in Wireless Sensor Networks},
year={2013},
volume={E96-B},
number={7},
pages={1857-1864},
abstract={Recently, environmental monitoring applications or home automation systems often deal with wireless sensor data. These applications deal with multi-dimensional sensing data and most processing operations involves skyline queries. In this paper, we focus on skyline queries in WSNs. However, as the number of data dimensions increases, the results of skyline queries become unmanageably large which reduces the lifetime of the sensor network. To solve these problems, we propose a novel k-dominant skyline query processing method using filtering mechanisms. The filter is designed by considering the data property and the data transmission cost. Extensive experiments show that our proposed method results in significant performance improvements over the existing method.},
keywords={},
doi={10.1587/transcom.E96.B.1857},
ISSN={1745-1345},
month={July},}

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TY - JOUR
TI - An Energy-Efficient Method for Processing a k-Dominant Skyline Query in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1857
EP - 1864
AU - Choon Seo PARK
AU - Su Min JANG
AU - Jae Soo YOO
PY - 2013
DO - 10.1587/transcom.E96.B.1857
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2013
AB - Recently, environmental monitoring applications or home automation systems often deal with wireless sensor data. These applications deal with multi-dimensional sensing data and most processing operations involves skyline queries. In this paper, we focus on skyline queries in WSNs. However, as the number of data dimensions increases, the results of skyline queries become unmanageably large which reduces the lifetime of the sensor network. To solve these problems, we propose a novel k-dominant skyline query processing method using filtering mechanisms. The filter is designed by considering the data property and the data transmission cost. Extensive experiments show that our proposed method results in significant performance improvements over the existing method.
ER -