The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Tem havido muito interesse em uma consulta espacial que adquire leituras de sensores de nós sensores dentro de uma área geográfica de interesse específica. Uma abordagem centralizada realiza a consulta espacial em um servidor após adquirir todas as leituras dos sensores. No entanto, incorre em alto custo de transmissão sem fio no acesso a todos os nós sensores. Portanto, vários métodos de busca espacial na rede foram propostos, com foco na redução do custo de transmissão sem fio. No entanto, os métodos dentro da rede às vezes incorrem em transmissões sem fio desnecessárias devido ao espaço morto, que é indexado espacialmente, mas não contém dados reais. Neste artigo, propomos um algoritmo híbrido de processamento de consultas espaciais que remove as transmissões sem fio desnecessárias. A idéia principal do algoritmo híbrido é encontrar antecipadamente os resultados de uma consulta espacial em um servidor e usar os resultados na remoção de transmissões sem fio desnecessárias em uma rede de sensores. Comparamos o método em rede através de vários experimentos e esclarecemos os recursos notáveis do nosso algoritmo.
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Min Soo KIM, Ju Wan KIM, Myoung Ho KIM, "Hybrid Spatial Query Processing between a Server and a Wireless Sensor Network" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 8, pp. 2306-2310, August 2010, doi: 10.1587/transinf.E93.D.2306.
Abstract: There has been much interest in a spatial query which acquires sensor readings from sensor nodes inside specified geographical area of interests. A centralized approach performs the spatial query at a server after acquiring all sensor readings. However, it incurs high wireless transmission cost in accessing all sensor nodes. Therefore, various in-network spatial search methods have been proposed, which focus on reducing the wireless transmission cost. However, the in-network methods sometimes incur unnecessary wireless transmissions because of dead space, which is spatially indexed but does not contain real data. In this paper, we propose a hybrid spatial query processing algorithm which removes the unnecessary wireless transmissions. The main idea of the hybrid algorithm is to find results of a spatial query at a server in advance and use the results in removing the unnecessary wireless transmissions at a sensor network. We compare the in-network method through several experiments and clarify our algorithm's remarkable features.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.2306/_p
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@ARTICLE{e93-d_8_2306,
author={Min Soo KIM, Ju Wan KIM, Myoung Ho KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Hybrid Spatial Query Processing between a Server and a Wireless Sensor Network},
year={2010},
volume={E93-D},
number={8},
pages={2306-2310},
abstract={There has been much interest in a spatial query which acquires sensor readings from sensor nodes inside specified geographical area of interests. A centralized approach performs the spatial query at a server after acquiring all sensor readings. However, it incurs high wireless transmission cost in accessing all sensor nodes. Therefore, various in-network spatial search methods have been proposed, which focus on reducing the wireless transmission cost. However, the in-network methods sometimes incur unnecessary wireless transmissions because of dead space, which is spatially indexed but does not contain real data. In this paper, we propose a hybrid spatial query processing algorithm which removes the unnecessary wireless transmissions. The main idea of the hybrid algorithm is to find results of a spatial query at a server in advance and use the results in removing the unnecessary wireless transmissions at a sensor network. We compare the in-network method through several experiments and clarify our algorithm's remarkable features.},
keywords={},
doi={10.1587/transinf.E93.D.2306},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - Hybrid Spatial Query Processing between a Server and a Wireless Sensor Network
T2 - IEICE TRANSACTIONS on Information
SP - 2306
EP - 2310
AU - Min Soo KIM
AU - Ju Wan KIM
AU - Myoung Ho KIM
PY - 2010
DO - 10.1587/transinf.E93.D.2306
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2010
AB - There has been much interest in a spatial query which acquires sensor readings from sensor nodes inside specified geographical area of interests. A centralized approach performs the spatial query at a server after acquiring all sensor readings. However, it incurs high wireless transmission cost in accessing all sensor nodes. Therefore, various in-network spatial search methods have been proposed, which focus on reducing the wireless transmission cost. However, the in-network methods sometimes incur unnecessary wireless transmissions because of dead space, which is spatially indexed but does not contain real data. In this paper, we propose a hybrid spatial query processing algorithm which removes the unnecessary wireless transmissions. The main idea of the hybrid algorithm is to find results of a spatial query at a server in advance and use the results in removing the unnecessary wireless transmissions at a sensor network. We compare the in-network method through several experiments and clarify our algorithm's remarkable features.
ER -