• 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