Hybrid Spatial Query Processing between a Server and a Wireless Sensor Network

Min Soo KIM  Ju Wan KIM  Myoung Ho KIM  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E93-D   No.8   pp.2306-2310
Publication Date: 2010/08/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E93.D.2306
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Data Engineering, Web Information Systems
Keyword: 
in-network spatial query,  in-network spatial search,  distributed spatial index,  wireless sensor network,  

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Summary: 
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.