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VGQ-Vor: extending virtual grid quadtree with Voronoi diagram for mobile k nearest neighbor queries over mobile objects

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Abstract

Performing mobile k nearest neighbor (MkNN) queries whilst also being mobile is a challenging problem. All the mobile objects issuing queries and/or being queried aremobile. The performance of this kind of query relies heavily on the maintenance of the current locations of the objects. The index used for mobile objects must support efficient update operations and efficient query handling. This study aims to improve the performance of the MkNN queries while reducing update costs. Our approach is based on an observation that the frequency of one region changing between being occupied or not by mobile objects is much lower than the frequency of the position changes reported by the mobile objects. We first propose an virtual grid quadtree with Voronoi diagram(VGQ-Vor), which is a two-layer index structure that indexes regions occupied by mobile objects in a quadtree and builds a Voronoi diagram of the regions. Then we propose a moving k nearest neighbor (kNN) query algorithm on the VGQ-Vor and prove the correctness of the algorithm. The experimental results show that the VGQ-Vor outperforms the existing techniques (Bx-tree, Bdual-tree) by one to three orders of magnitude in most cases.

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Authors and Affiliations

  1. Department of Information Science and Engineering, Northeastern University, Shenyang, 110004, China

    Botao Wang, Jingwei Qu, Xiaosong Wang & Guoren Wang

  2. Institute of Industrial Science, the University of Tokyo, Tokyo, 153-8505, Japan

    Masaru Kitsuregawa

Authors
  1. Botao Wang
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  2. Jingwei Qu
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  3. Xiaosong Wang
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  4. Guoren Wang
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  5. Masaru Kitsuregawa
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Correspondence to Botao Wang.

Additional information

Botao Wang received his PhD in Computer Science in 2000 from Kyushu University. Currently, he is a professor in the Department of Information Science and Engineering, Northeastern University. His research interests include spatial-temporal databases, publish/subscribe systems, data streaming and mobile data management.

Jingwei Qu received his BS in Computer Science from Northeastern University, in 2009. He received his MS in Computer Systems from Northeastern University, in 2011. His research focuses on mobile data management.

Xiaosong Wang received her BS in Computer Science from Anhui Construction Industry Institute, in 2009. She is currently an MS candidate in Computer Application Technology at Northeastern University. Her research focuses on mobile data management.

Guoren Wang received his BS,MS, and PhD from Northeastern University in 1988, 1991, and 1996 respectively, all in Computer Science. He is currently a full professor and doctoral supervisor in the Department of Information Science and Engineering, Northeastern University. His research interests include XML data management, data streaming analysis, high-dimensional indexing, and P2P data management.

Masaru Kitsuregawa received his PhD in Information Engineering in 1983 from the University of Tokyo. Now he is a professor and director of Center for Information at the Institute of Industrial Science, University of Tokyo. His research interests include parallel processing and database system.

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Wang, B., Qu, J., Wang, X. et al. VGQ-Vor: extending virtual grid quadtree with Voronoi diagram for mobile k nearest neighbor queries over mobile objects. Front. Comput. Sci. 7, 44–54 (2013). https://doi.org/10.1007/s11704-012-2069-z

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  • DOI: https://doi.org/10.1007/s11704-012-2069-z

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