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The GR-tree: An Energy-Efficient Distributed Spatial Indexing Scheme in Wireless Sensor Networks  

Kim, Min-Soo (한국전자통신연구원 공간정보연구팀)
Jang, In-Sung (한국전자통신연구원 공간정보연구팀)
Publication Information
Spatial Information Research / v.19, no.5, 2011 , pp. 63-74 More about this Journal
Abstract
Recently, there has been much interest in the spatial query which energy-efficiently acquires sensor readings from sensor nodes inside specified geographical area of interests. The centralized approach which performs the spatial query at a server after acquiring all sensor readings, though simple, it incurs high wireless transmission cost in accessing all sensor nodes. In order to remove the high wireless transmission cost, various in-network spatial indexing schemes have been proposed. They have focused on reducing the transmission cost by performing distributed spatial filtering on sensor nodes. However, these in-network spatial indexing schemes have a problem which cannot optimize both the spatial filtering and the wireless routing among sensor nodes, because these schemes have been developed by simply applying the existing spatial indexing schemes into the in-network environment. Therefore, we propose a new distributed spatial indexing scheme of the GR-tree. The GR-tree which form s a MBR-based tree structure, can reduce the wireless transmission cost by optimizing both the efficient spatial filtering and the wireless routing. Finally, we compare the existing spatial indexing scheme through extensive experiments and clarify our approach's distinguished features.
Keywords
Sensor Network DB; In-network Spatial Query; Distributed Spatial Index; GR-tree;
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Times Cited By KSCI : 3  (Citation Analysis)
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