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MR-Tree: A Mapping-based R-Tree for Efficient Spatial Searching  

Kang, Hong-Koo (한국인터넷진흥원 융합보호 R&D팀)
Shin, In-Su (건국대학교 컴퓨터공학부)
Kim, Joung-Joon (건국대학교 컴퓨터공학부)
Han, Ki-Joon (건국대학교 컴퓨터공학부)
Publication Information
Spatial Information Research / v.18, no.4, 2010 , pp. 109-120 More about this Journal
Abstract
Recently, due to rapid increasement of spatial data collected from various geosensors in u-GIS environments, the importance of spatial index for efficient search of large spatial data is rising gradually. Especially, researches based R-Tree to improve search performance of spatial data have been actively performed. These previous researches focus on reducing overlaps between nodes or the height of the R -Tree. However, these can not solve an unnecessary node access problem efficiently occurred in tree traversal. In this paper, we propose a MR-Tree(Mapping-based R-Tree) to solve this problem and to support efficient search of large spatial data. The MR-Tree can improve search performance by using a mapping tree for direct access to leaf nodes of the R-Tree without tree traversal. The mapping tree is composed with MBRs and pointers of R-Tree leaf nodes associating each partition which is made by splitting data area repeatedly along dimensions. Especially, the MR-Tree can be adopted in various variations of the R-Tree easily without a modification of the R-Tree structure. In addition, because the mapping tree is constructed in main memory, search time can be greatly reduced. Finally, we proved superiority of MR-Tree performance through experiments.
Keywords
Spatial Data; Spatial Search; Mapping Tree; R-Tree; MR-Tree;
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Times Cited By KSCI : 2  (Citation Analysis)
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