Energy efficient index for querying location-dependent data in mobile broadcast environments
We are witnessing in recent years growing interest for location-dependent information services among mobile users. We examine the issue of processing location-dependent queries in a mobile broadcast environment. Different from a traditional environment, mobile users are concerned with not only acces...
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| Published in | 2003 19th International Conference on Data Engineering pp. 239 - 250 |
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| Main Authors | , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
2003
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9780780376656 078037665X |
| DOI | 10.1109/ICDE.2003.1260796 |
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| Abstract | We are witnessing in recent years growing interest for location-dependent information services among mobile users. We examine the issue of processing location-dependent queries in a mobile broadcast environment. Different from a traditional environment, mobile users are concerned with not only access latencies but also power conservation. The planar point location algorithms and conventional spatial index structures are shown inefficient. We propose a new index data structure, called D-tree, for querying location-dependent data in mobile broadcast environments. The basic idea is to index data regions based on the divisions between them. We describe how to construct the binary D-tree index, how to process location-dependent queries based on this index structure, and how to page the D-tree to fit the packet capacity. The performance of the D-tree is evaluated using both synthetic and real datasets. Experimental results show that the proposed D-tree provides a much better overall performance than the well-known existing schemes such as the R*-tree. |
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| AbstractList | We are witnessing in recent years growing interest for location-dependent information services among mobile users. We examine the issue of processing location-dependent queries in a mobile broadcast environment. Different from a traditional environment, mobile users are concerned with not only access latencies but also power conservation. The planar point location algorithms and conventional spatial index structures are shown inefficient. We propose a new index data structure, called D-tree, for querying location-dependent data in mobile broadcast environments. The basic idea is to index data regions based on the divisions between them. We describe how to construct the binary D-tree index, how to process location-dependent queries based on this index structure, and how to page the D-tree to fit the packet capacity. The performance of the D-tree is evaluated using both synthetic and real datasets. Experimental results show that the proposed D-tree provides a much better overall performance than the well-known existing schemes such as the R*-tree. |
| Author | Baibua Zheng Lee, W.-C. Dik Lun Lee Jianliang Xu |
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| Snippet | We are witnessing in recent years growing interest for location-dependent information services among mobile users. We examine the issue of processing... |
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| SubjectTerms | Broadcasting Councils Data structures Delay Energy efficiency Indexing Nearest neighbor searches Spatial indexes Telecommunication traffic Wireless networks |
| Title | Energy efficient index for querying location-dependent data in mobile broadcast environments |
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