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Skyline Query Processing in Sensor Network Based on Data Centric Storage

Data centric storages for sensor networks have been proposed to efficiently process multi-dimensional range queries as well as exact matches. Usually, a sensor network does not process only one type of the query, but processes various types of queries such as range queries, exact matches and skyline...

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Detalles Bibliográficos
Autores principales: Song, Seokil, Kwak, Yunsik, Lee, Seokhee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274284/
https://www.ncbi.nlm.nih.gov/pubmed/22346642
http://dx.doi.org/10.3390/s111110283
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author Song, Seokil
Kwak, Yunsik
Lee, Seokhee
author_facet Song, Seokil
Kwak, Yunsik
Lee, Seokhee
author_sort Song, Seokil
collection PubMed
description Data centric storages for sensor networks have been proposed to efficiently process multi-dimensional range queries as well as exact matches. Usually, a sensor network does not process only one type of the query, but processes various types of queries such as range queries, exact matches and skyline queries. Therefore, a sensor network based on a data centric storage for range queries and exact matches should process skyline queries efficiently. However, existing algorithms for skyline queries have not considered the features of data centric storages. Some of the data centric storages store similar data in sensor nodes that are placed on geographically similar locations. Consequently, all data are ordered in a sensor network. In this paper, we propose a new skyline query processing algorithm that exploits the above features of data centric storages.
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spelling pubmed-32742842012-02-15 Skyline Query Processing in Sensor Network Based on Data Centric Storage Song, Seokil Kwak, Yunsik Lee, Seokhee Sensors (Basel) Article Data centric storages for sensor networks have been proposed to efficiently process multi-dimensional range queries as well as exact matches. Usually, a sensor network does not process only one type of the query, but processes various types of queries such as range queries, exact matches and skyline queries. Therefore, a sensor network based on a data centric storage for range queries and exact matches should process skyline queries efficiently. However, existing algorithms for skyline queries have not considered the features of data centric storages. Some of the data centric storages store similar data in sensor nodes that are placed on geographically similar locations. Consequently, all data are ordered in a sensor network. In this paper, we propose a new skyline query processing algorithm that exploits the above features of data centric storages. Molecular Diversity Preservation International (MDPI) 2011-10-28 /pmc/articles/PMC3274284/ /pubmed/22346642 http://dx.doi.org/10.3390/s111110283 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Song, Seokil
Kwak, Yunsik
Lee, Seokhee
Skyline Query Processing in Sensor Network Based on Data Centric Storage
title Skyline Query Processing in Sensor Network Based on Data Centric Storage
title_full Skyline Query Processing in Sensor Network Based on Data Centric Storage
title_fullStr Skyline Query Processing in Sensor Network Based on Data Centric Storage
title_full_unstemmed Skyline Query Processing in Sensor Network Based on Data Centric Storage
title_short Skyline Query Processing in Sensor Network Based on Data Centric Storage
title_sort skyline query processing in sensor network based on data centric storage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274284/
https://www.ncbi.nlm.nih.gov/pubmed/22346642
http://dx.doi.org/10.3390/s111110283
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