A Cell-Based Hybrid Indexing Scheme for Energy Conserving k Nearest Neighbor Search on Air

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概要

• 論文の詳細を見る

• This letter proposes a Cell-based Hybrid Index (CHI) for energy conserving k Nearest Neighbor search on air. The proposed CHI provides global knowledge on data distribution for fast decision of the search space and local knowledge for efficient pruning of data items. Simulations show that CHI outperforms the existing indexing schemes in terms of tuning time and energy efficiency. With respect to access time, it outperforms them except the distributed indexing scheme optimized for access time.

• （社）電子情報通信学会の論文
• 2008-11-01

著者

• Youn Hee

  School Of Electrical & Computer Engineering Sungkyunkwan University

• Im Seokjin

  School Of Information And Communication Engineering Sungkyunkwan University

• YOUN Hee

  School of Information and Communication Engineering, SungKyunKwan University

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