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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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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. |
format | Online Article Text |
id | pubmed-3274284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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