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We propose the framework for monitoring k-nearest neighbor (kNN) query based on peer-to-peer (P2P) structure. In the framework, moving objects with mobile equipment can finish some computation to help finding global kNN. A group-query algorithm is introduced which adopt two new techniques named distance-time and section-sort to speed-up the query. The cost of CPU time and wireless communication could be reduced largely. In the simulation experiments, the algorithms improve the efficiency largely.
Machine Learning and Cybernetics, 2009 International Conference on (Volume:3 )
Date of Conference: 12-15 July 2009