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IJA: An Efficient Algorithm for Query Processing in Sensor Networks

One of main features in sensor networks is the function that processes real time state information after gathering needed data from many domains. The component technologies consisting of each node called a sensor node that are including physical sensors, processors, actuators and power have advanced...

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Detalles Bibliográficos
Autores principales: Lee, Hyun Chang, Lee, Young Jae, Lim, Ji Hyang, Kim, Dong Hwa
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/PMC3274024/
https://www.ncbi.nlm.nih.gov/pubmed/22319375
http://dx.doi.org/10.3390/s110201682
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author Lee, Hyun Chang
Lee, Young Jae
Lim, Ji Hyang
Kim, Dong Hwa
author_facet Lee, Hyun Chang
Lee, Young Jae
Lim, Ji Hyang
Kim, Dong Hwa
author_sort Lee, Hyun Chang
collection PubMed
description One of main features in sensor networks is the function that processes real time state information after gathering needed data from many domains. The component technologies consisting of each node called a sensor node that are including physical sensors, processors, actuators and power have advanced significantly over the last decade. Thanks to the advanced technology, over time sensor networks have been adopted in an all-round industry sensing physical phenomenon. However, sensor nodes in sensor networks are considerably constrained because with their energy and memory resources they have a very limited ability to process any information compared to conventional computer systems. Thus query processing over the nodes should be constrained because of their limitations. Due to the problems, the join operations in sensor networks are typically processed in a distributed manner over a set of nodes and have been studied. By way of example while simple queries, such as select and aggregate queries, in sensor networks have been addressed in the literature, the processing of join queries in sensor networks remains to be investigated. Therefore, in this paper, we propose and describe an Incremental Join Algorithm (IJA) in Sensor Networks to reduce the overhead caused by moving a join pair to the final join node or to minimize the communication cost that is the main consumer of the battery when processing the distributed queries in sensor networks environments. At the same time, the simulation result shows that the proposed IJA algorithm significantly reduces the number of bytes to be moved to join nodes compared to the popular synopsis join algorithm.
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spelling pubmed-32740242012-02-08 IJA: An Efficient Algorithm for Query Processing in Sensor Networks Lee, Hyun Chang Lee, Young Jae Lim, Ji Hyang Kim, Dong Hwa Sensors (Basel) Article One of main features in sensor networks is the function that processes real time state information after gathering needed data from many domains. The component technologies consisting of each node called a sensor node that are including physical sensors, processors, actuators and power have advanced significantly over the last decade. Thanks to the advanced technology, over time sensor networks have been adopted in an all-round industry sensing physical phenomenon. However, sensor nodes in sensor networks are considerably constrained because with their energy and memory resources they have a very limited ability to process any information compared to conventional computer systems. Thus query processing over the nodes should be constrained because of their limitations. Due to the problems, the join operations in sensor networks are typically processed in a distributed manner over a set of nodes and have been studied. By way of example while simple queries, such as select and aggregate queries, in sensor networks have been addressed in the literature, the processing of join queries in sensor networks remains to be investigated. Therefore, in this paper, we propose and describe an Incremental Join Algorithm (IJA) in Sensor Networks to reduce the overhead caused by moving a join pair to the final join node or to minimize the communication cost that is the main consumer of the battery when processing the distributed queries in sensor networks environments. At the same time, the simulation result shows that the proposed IJA algorithm significantly reduces the number of bytes to be moved to join nodes compared to the popular synopsis join algorithm. Molecular Diversity Preservation International (MDPI) 2011-01-28 /pmc/articles/PMC3274024/ /pubmed/22319375 http://dx.doi.org/10.3390/s110201682 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
Lee, Hyun Chang
Lee, Young Jae
Lim, Ji Hyang
Kim, Dong Hwa
IJA: An Efficient Algorithm for Query Processing in Sensor Networks
title IJA: An Efficient Algorithm for Query Processing in Sensor Networks
title_full IJA: An Efficient Algorithm for Query Processing in Sensor Networks
title_fullStr IJA: An Efficient Algorithm for Query Processing in Sensor Networks
title_full_unstemmed IJA: An Efficient Algorithm for Query Processing in Sensor Networks
title_short IJA: An Efficient Algorithm for Query Processing in Sensor Networks
title_sort ija: an efficient algorithm for query processing in sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274024/
https://www.ncbi.nlm.nih.gov/pubmed/22319375
http://dx.doi.org/10.3390/s110201682
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