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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
지정된 지리적 관심 영역 내의 센서 노드로부터 센서 판독값을 획득하는 공간 쿼리에 많은 관심이 있었습니다. 중앙 집중식 접근 방식은 모든 센서 판독값을 획득한 후 서버에서 공간 쿼리를 수행합니다. 그러나 모든 센서 노드에 접근하는데 있어서 높은 무선 전송 비용이 발생한다. 따라서, 무선 전송 비용을 줄이는 데 초점을 맞춘 다양한 네트워크 내 공간 검색 방법이 제안되었다. 그러나 네트워크 내 방식은 공간적으로 인덱싱되지만 실제 데이터를 포함하지 않는 데드 스페이스(Dead Space)로 인해 불필요한 무선 전송이 발생하는 경우가 있다. 본 논문에서는 불필요한 무선 전송을 제거하는 하이브리드 공간 질의 처리 알고리즘을 제안한다. 하이브리드 알고리즘의 주요 아이디어는 공간 쿼리 결과를 서버에서 미리 찾아내고, 그 결과를 센서 네트워크에서 불필요한 무선 전송을 제거하는 데 활용하는 것입니다. 우리는 여러 실험을 통해 네트워크 내 방식을 비교하고 알고리즘의 놀라운 특징을 명확히 합니다.
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부
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
부
@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},}
부
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 -