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An Adjustable-Tree Method for Processing Reverse Nearest Neighbor Moving Queries

  • Ye-In Chang
  • Jun-Hong ShenEmail author
  • Che-Min Chu
Conference paper
  • 7 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 551)

Abstract

For a reverse nearest neighbor (RNN) query, the query object will find the data objects regard it as their nearest neighbor. Over the past few years, the RNN query on the road network database has attracted much attention. In the previous research, a multi-way tree efficiently solves the issue about moving data objects for the RNN query. However, in the scenario that the query object reaches a new location, i.e., the moving query, the multi-way tree needs to be reconstructed, which takes long time. Therefore, in this paper, we propose an adjustable-tree method for solving the above problem and improving the performance efficiency for processing moving queries. Via the performance evaluation, our proposed method performs better than the original multi-way tree method.

Keywords

Reverse nearest neighbor queries Road network Spatial database 

Notes

Acknowledgments

This research was supported by grant MOST 104-2221-E-110-077 from the Ministry of Science and Technology, Taiwan.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNational Sun Yat-Sen UniversityKaohsiung CityTaiwan
  2. 2.Department of Information CommunicationAsia UniversityTaichung CityTaiwan
  3. 3.Department of Medical ResearchChina Medical University Hospital, China Medical UniversityTaichung CityTaiwan

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