DocumentCode :
692991
Title :
Studies on kNN query of moving objects for location management in spatial database
Author :
An Chunming ; Li Zongsen
Author_Institution :
Sch. of Econ. & Manage., Beihua Univ., Jilin, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
2428
Lastpage :
2432
Abstract :
With mobile technology deepening and applications developing, quantity of moving objects is increasing explosively, which impels development of moving objects database (MOD). As critical technology of MOD, moving objects indexing structure and its accessory algorithms affect performance of applications directly. This chapter presents a Branch-and-Bround algorithm based M2TPR-tree multi-time parameter approximation expression, and improves query efficiency of polygon objects moving kNN algorithm. This chapter also presents the radius of MPB-tree-based iterative algorithm which can efficiently complete point-like objects moving kNN query.
Keywords :
pattern recognition; query processing; tree searching; visual databases; M2TPR-tree multitime parameter approximation expression; MOD; MPB-tree-based iterative algorithm; accessory algorithms; branch-and-bround algorithm; critical technology; kNN query; location management; mobile technology deepening; moving objects database; moving objects indexing structure; polygon objects moving kNN algorithm; query efficiency; spatial database; Algorithm design and analysis; Approximation algorithms; Approximation methods; Indexing; Measurement; Spatial databases; Location Management; Moving Objects Database; Spatial Database; kNN Query;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885443
Filename :
6885443
Link To Document :
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