Effective low-latency k-nearest neighbor search via wireless data broadcast

  • Authors:
  • KwangJin Park;MoonBae Song;Ki-Sik Kong;Sang-Won Kang;Chong-Sun Hwang;Kwang-Sik Chung;SoonYoung Jung

  • Affiliations:
  • Dept. of Computer Science and Engineering, Korea University, Seoul, Korea;Dept. of Computer Science and Engineering, Korea University, Seoul, Korea;Dept. of Computer Science and Engineering, Korea University, Seoul, Korea;Dept. of Computer Science and Engineering, Korea University, Seoul, Korea;Dept. of Computer Science and Engineering, Korea University, Seoul, Korea;Dept. of Computer Science and Engineering, Korea National Open University;Dept. of Computer Science Education, Korea University

  • Venue:
  • DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
  • Year:
  • 2006

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Abstract

To facilitate power saving via wireless data broadcast, index information is typically broadcast along with the data. By first accessing the broadcast index, the mobile client is able to predict the arrival time of the desired data. However, it suffers from the drawback that the client has to wait and tune for an index segment, in order to conserve battery power consumption. Moreover, the average time elapsed between the request for the data and its receipt may increase as a result of these additional messages. In this paper, we present a broadcast-based spatial query processing method designed to support K-NN(K-Nearest Neighbor) queries via wireless data broadcast. With the proposed schemes, the client can perform NN query processing without having to tune into an index segment. Experiments are conducted to evaluate the performance of the proposed methods. The resulting latency and energy consumption are close to the optimum values, as the analysis and simulation results indicate.