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 in2003 19th International Conference on Data Engineering pp. 239 - 250
Main Authors Jianliang Xu, Baibua Zheng, Lee, W.-C., Dik Lun Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
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ISBN9780780376656
078037665X
DOI10.1109/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.
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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StartPage 239
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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