An Efficient Filtering Method for Processing Continuous Skyline Queries on Sensor Data

Su Min JANG; Choon Seo PARK; Dong Min SEO; Jae Soo YOO

doi:10.1587/transcom.E93.B.2180

An Efficient Filtering Method for Processing Continuous Skyline Queries on Sensor Data

Su Min JANG, Choon Seo PARK, Dong Min SEO, Jae Soo YOO

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In this paper, we propose a novel filtering method for processing continuous skyline queries in wireless sensor network environments. The existing filtering methods on such environments use filters that are based on router paths. However, these methods do not have a major effect on reducing data for sensor nodes to transmit to the base station, because the filters are applied to not the whole area but a partial area. Therefore, we propose a novel and efficient method to dramatically reduce the data transmissions of sensors through applying an effective filter with low costs to all sensor nodes. The proposed effective filter is generated by using characteristics such as the data locality and the clustering of sensors. An extensive performance study verifies the merits of our new method.

Publication: IEICE TRANSACTIONS on Communications Vol.E93-B No.8 pp.2180-2183

Publication Date: 2010/08/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E93.B.2180

Type of Manuscript: LETTER

Category: Network

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Su Min JANG, Choon Seo PARK, Dong Min SEO, Jae Soo YOO, "An Efficient Filtering Method for Processing Continuous Skyline Queries on Sensor Data" in IEICE TRANSACTIONS on Communications, vol. E93-B, no. 8, pp. 2180-2183, August 2010, doi: 10.1587/transcom.E93.B.2180.
Abstract: In this paper, we propose a novel filtering method for processing continuous skyline queries in wireless sensor network environments. The existing filtering methods on such environments use filters that are based on router paths. However, these methods do not have a major effect on reducing data for sensor nodes to transmit to the base station, because the filters are applied to not the whole area but a partial area. Therefore, we propose a novel and efficient method to dramatically reduce the data transmissions of sensors through applying an effective filter with low costs to all sensor nodes. The proposed effective filter is generated by using characteristics such as the data locality and the clustering of sensors. An extensive performance study verifies the merits of our new method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.2180/_p

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@ARTICLE{e93-b_8_2180,
author={Su Min JANG, Choon Seo PARK, Dong Min SEO, Jae Soo YOO, },
journal={IEICE TRANSACTIONS on Communications},
title={An Efficient Filtering Method for Processing Continuous Skyline Queries on Sensor Data},
year={2010},
volume={E93-B},
number={8},
pages={2180-2183},
abstract={In this paper, we propose a novel filtering method for processing continuous skyline queries in wireless sensor network environments. The existing filtering methods on such environments use filters that are based on router paths. However, these methods do not have a major effect on reducing data for sensor nodes to transmit to the base station, because the filters are applied to not the whole area but a partial area. Therefore, we propose a novel and efficient method to dramatically reduce the data transmissions of sensors through applying an effective filter with low costs to all sensor nodes. The proposed effective filter is generated by using characteristics such as the data locality and the clustering of sensors. An extensive performance study verifies the merits of our new method.},
keywords={},
doi={10.1587/transcom.E93.B.2180},
ISSN={1745-1345},
month={August},}

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TY - JOUR
TI - An Efficient Filtering Method for Processing Continuous Skyline Queries on Sensor Data
T2 - IEICE TRANSACTIONS on Communications
SP - 2180
EP - 2183
AU - Su Min JANG
AU - Choon Seo PARK
AU - Dong Min SEO
AU - Jae Soo YOO
PY - 2010
DO - 10.1587/transcom.E93.B.2180
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2010
AB - In this paper, we propose a novel filtering method for processing continuous skyline queries in wireless sensor network environments. The existing filtering methods on such environments use filters that are based on router paths. However, these methods do not have a major effect on reducing data for sensor nodes to transmit to the base station, because the filters are applied to not the whole area but a partial area. Therefore, we propose a novel and efficient method to dramatically reduce the data transmissions of sensors through applying an effective filter with low costs to all sensor nodes. The proposed effective filter is generated by using characteristics such as the data locality and the clustering of sensors. An extensive performance study verifies the merits of our new method.
ER -