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Analysis and Evaluation of V*-kNN: An Efficient Algorithm for Moving kNN Queries
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@MISC{Nutanong_analysisand,
author = {Sarana Nutanong and Rui Zhang and Egemen Tanin and Lars Kulik},
title = {Analysis and Evaluation of V*-kNN: An Efficient Algorithm for Moving kNN Queries},
year = {}
}
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Abstract
The moving k nearest neighbor (MkNN) query continuously finds the k nearest neighbors of a moving query point. MkNN queries can be efficiently processed through the use of safe regions. In general, a safe region is a region within which the query point can move without changing the query answer. This paper presents an incremental safe-region-based technique for answering MkNN queries, called the V*-Diagram, as well as analysis and evaluation of its associated algorithm, V*-kNN. Traditional safe-region approaches compute a safe region based on the data objects but independent of the query location. Our approachexploitstheknowledgeofthequerylocationand the boundary ofthesearchspaceinadditiontothedata objects. Asaresult,V*-kNNhasmuchsmaller I/O and computation coststhanexistingmethods.Wefurtherprovidecostmodels to estimate the number of data accesses for V*-kNN and a competitivetechnique,RIS-kNN.TheV*-DiagramandV*kNN are also applicable to the domain of spatial networks and we present algorithms to construct a spatial-network V*-Diagram. Our experimental results show that V*-kNN significantlyoutperforms the competitive technique. The results also verify the accuracy of thec ost models.
Keyphrases
analysisandevaluationofv knn safe region willbe insertedby theeditor efficient algorithmfor moving knn query mknn query query point knnhasmuchsmalleri oandcomputation coststhanexistingmethods query answer theresultsalsoverify theaccuracy data object query location spatial-network diagram incremental safe-region-based technique spatial network thedateof receiptand thev diagramandv knn thecost model insertedlater abstract associated algorithm data access traditional safe-region approach experimental result
