DocumentCode :
1811930
Title :
Improved moving objects indexing model in mobile computing environment
Author :
Liang, Ye
Author_Institution :
Dept. of Comput. Sci., Beijing Foreign Studies Univ., Beijing, China
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
139
Lastpage :
143
Abstract :
When we take cognizance of the regular track of moving objects within a limited area, we put forward an improved moving objects indexing model in mobile computing environment based on Time-Parameterized R-tree (GG TPR-tree). With the GG TPR-tree, we can index moving objects which are neighbors and will run to the same direction in the future to improve the efficiency. So, we put forward the indexing model for the moving objects, and moving objects indexing maintenance algorithm and moving objects indexing update algorithm. Experimental results show that the performance of GG TPR-tree´s indexing moving inexing is better than the other indexing model on managing a great capacity of moving objects within a limited area.
Keywords :
indexing; mobile computing; trees (mathematics); GG TPR-tree; mobile computing environment; moving objects indexing maintenance algorithm; moving objects indexing model; time parameterized R-tree; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Indexing; Maintenance engineering; Roads; index model; mobile computing environment; moving objects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
Type :
conf
DOI :
10.1109/CCIS.2011.6045048
Filename :
6045048
Link To Document :
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