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Journal Article Hybrid Spatial Query Processing between a Server and a Wireless Sensor Network
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Authors
Min Soo KIM, Ju Wan KIM, Myoung Ho KIM
Issue Date
2010-08
Citation
IEICE Transactions on Information and Systems, v.E93.D, no.8, pp.2306-2310
ISSN
0916-8532
Publisher
일본, 전자정보통신학회 (IEICE)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/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. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.
KSP Keywords
Centralized approach, Dead space, Hybrid algorithm, In-network, Information and communication, Network method, Real data, Sensor node, Spatial query processing, Transmission Cost, Wireless Sensor networks