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Authors
Affiliations
1 Department of Computer Science and Engineering, Anna University – Regional Office, Tiruchirapalli, IN
Source
ICTACT Journal on Soft Computing, Vol 4, No 3 (2014), Pagination: 738-742
Abstract
The recent development in the technology leads to the introduction of various mobile terminals and there is a demand that the client requires effective location based services. The valid regions expand and also query retrieval time increases which lead to poor performance of query processing. The spatial indexing techniques are one of the most effective optimization methods to improve the quality of services. In existing system NN queries and window queries are used. In that R-tree and grid indexing has been used for increasing the query efficiency. But the Grid-index technique support low memory and thus large databases cannot be handled effectively. In the proposed system we are using Ordered grid index and EVR-tree to minimize the query retrieval time and to decrease the depth of the search index. The Ordered grid index and EVR-tree to speed up the spatial query processing.
Keywords
Spatial Indexing, Location Based Queries, LBS, Spatial Data Mining, Spatial Queries.
