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Voronoi-based multi-level range search in mobile navigation

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Abstract

Due to the universality and importance of range search queries processing in mobile and spatial databases as well as in geographic information system (GIS), numerous approaches on range search algorithms have been proposed in recent years. But ordinary range search queries focus only on a specific type of point objects. For queries which require to retrieve objects of interest locating in a particular region, ordinary range search could not get the expected results. In addition, most existing range search methods need to perform a searching on each road segments within the pre-defined range, which decreases the performance of range search. In this paper, we design a weighted network Voronoi diagram and propose a high-performance multilevel range search query processing that retrieves a set of objects locating in some specified region within the searching range. The experimental results show that our proposed algorithm runs very efficiently and outperforms its main competitor.

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Acknowledgement

This research has been partially funded by the Australian Research Council (ARC) Discovery Project (Project No: DP0987687).

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Authors and Affiliations

  1. Clayton School of Information Technology, Monash University, Melbourne, Australia

    Kefeng Xuan, Geng Zhao, David Taniar & Bala Srinivasan

  2. Computer Engineering Department, Kuwait University, Kuwait City, Kuwait

    Maytham Safar

Authors
  1. Kefeng Xuan
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  2. Geng Zhao
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  3. David Taniar
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  4. Maytham Safar
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  5. Bala Srinivasan
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Correspondence to Kefeng Xuan.

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Xuan, K., Zhao, G., Taniar, D. et al. Voronoi-based multi-level range search in mobile navigation. Multimed Tools Appl 53, 459–479 (2011). https://doi.org/10.1007/s11042-010-0498-y

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