Energy-conserving air indexes for nearest neighbor search

Baihua Zheng, Jianliang Xu, Wang Chien Lee, Dik Lun Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

20 Scopus citations

Abstract

A location-based service (LBS) provides information based on the location information specified in a query. Nearest-neighbor (NN) search is an important class of queries supported in LBSs. This paper studies energy-conserving air indexes for NN search in a wireless broadcast environment. Linear access requirement of wireless broadcast weakens the performance of existing search algorithms designed for traditional spatial database. In this paper, we propose a new energyconserving index, called grid-partition index, which enables a single linear scan of the index for any NN queries. The idea is to partition the search space for NN queries into grid cells and index all the objects that are potential nearest neighbors of a query point in each grid cell. Three grid partition schemes are proposed for the grid-partition index. Performance of the proposed grid-partition indexes and two representative traditional indexes (enhanced for wireless broadcast) is evaluated using both synthetic and real data. The result shows that the grid-partition index substantially outperforms the traditional indexes.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsElisa Bertino, Stavros Christodoulakis, Manolis Koubarakis, Dimitris Plexousakis, Vassilis Christophides, Klemens Bohm, Elena Ferrari
PublisherSpringer Verlag
Pages48-66
Number of pages19
ISBN (Electronic)9783540212003
DOIs
StatePublished - Jan 1 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2992
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Zheng, B., Xu, J., Lee, W. C., & Lee, D. L. (2004). Energy-conserving air indexes for nearest neighbor search. In E. Bertino, S. Christodoulakis, M. Koubarakis, D. Plexousakis, V. Christophides, K. Bohm, & E. Ferrari (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 48-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2992). Springer Verlag. https://doi.org/10.1007/978-3-540-24741-8_5