Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Optimization of Location Based Queries Using Spatial Indexing


Affiliations
1 Department of Computer Science and Engineering, Anna University – Regional Office, Tiruchirapalli, India
     

   Subscribe/Renew Journal


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.
Subscription Login to verify subscription
User
Notifications
Font Size

Abstract Views: 200

PDF Views: 0




  • Optimization of Location Based Queries Using Spatial Indexing

Abstract Views: 200  |  PDF Views: 0

Authors

S. Geetha
Department of Computer Science and Engineering, Anna University – Regional Office, Tiruchirapalli, India
S. Anu Velavan
Department of Computer Science and Engineering, Anna University – Regional Office, Tiruchirapalli, India

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.