A New Spatial Index Structure for Efficient Query Processing in Location Based Services

The interests of Location Based Services (LBS) have been highly increased according to the development of location aware techniques and mobile devices. Various spatial-indexing methods based on R-tree structure have been proposed to process queries efficiently. However, many node accesses occur in tree based spatial index structures when queries are processed. In this paper, we propose a spatial index structure, called ISGrid that provides better efficient query processing than R-tree based index structures. ISGrid uses not a tree structure but a grid structure that provides direct accesses to data pages and uses Minimum Boundary Rectangle (MBR) as a leaf node. The grid structure is used to access the leaf node. In addition, each leaf nodes maintain the links to neighbor leaf nodes like B+-tree to avoid unnecessary parent node accesses to search a neighbor node. We show the superiority of ISGrid from performance evaluation.