Energy-Efficient Distributed Spatial Join Processing in Wireless Sensor Networks

Min Soo KIM  Jin Hyun SON  Ju Wan KIM  Myoung Ho KIM  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E93-D   No.6   pp.1447-1458
Publication Date: 2010/06/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E93.D.1447
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Info-Plosion)
Category: Spatial Databases
Keyword: 
distributed spatial index,  distributed spatial join,  in-network query processing,  wireless sensor network,  

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Summary: 
In the area of wireless sensor networks, the efficient spatial query processing based on the locations of sensor nodes is required. Especially, spatial queries on two sensor networks need a distributed spatial join processing among the sensor networks. Because the distributed spatial join processing causes lots of wireless transmissions in accessing sensor nodes of two sensor networks, our goal of this paper is to reduce the wireless transmissions for the energy efficiency of sensor nodes. In this paper, we propose an energy-efficient distributed spatial join algorithm on two heterogeneous sensor networks, which performs in-network spatial join processing. To optimize the in-network processing, we also propose a Grid-based Rectangle tree (GR-tree) and a grid-based approximation function. The GR-tree reduces the wireless transmissions by supporting a distributed spatial search for sensor nodes. The grid-based approximation function reduces the wireless transmissions by reducing the volume of spatial query objects which should be pushed down to sensor nodes. Finally, we compare naive and existing approaches through extensive experiments and clarify our approach's distinguished features.