The islands approach to nearest neighbor querying in spatial networks

  • Authors:
  • Xuegang Huang;Christian S. Jensen;Simonas Šaltenis

  • Affiliations:
  • Department of Computer Science, Aalborg University, Aalborg, Denmark;Department of Computer Science, Aalborg University, Aalborg, Denmark;Department of Computer Science, Aalborg University, Aalborg, Denmark

  • Venue:
  • SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
  • Year:
  • 2005

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Abstract

Much research has recently been devoted to the data management foundations of location-based mobile services. In one important scenario, the service users are constrained to a transportation network. As a result, query processing in spatial road networks is of interest. We propose a versatile approach to k nearest neighbor computation in spatial networks, termed the Islands approach. By offering flexible yet simple means of balancing re-computation and pre-computation, this approach is able to manage the trade-off between query and update performance. The result is a single, efficient, and versatile approach to k nearest neighbor computation that obviates the need for using several k nearest neighbor approaches for supporting a single service scenario. The experimental comparison with the existing techniques uses real-world road network data and considers both I/O and CPU performance, for both queries and updates.