Power conservative multi-attribute queries on data broadcast

Qinglong Hu, Wang Chien Lee, Dik Lun Lee

Research output: Contribution to conferencePaperpeer-review

42 Scopus citations

Abstract

ln this paper, we study power conservation techniques for multi-attribute queries on wireless data broadcast channels. Indexing data on broadcast channels can improve client filtering capability, while clustering and scheduling can reduce both access time and tune-in time. Thus, indexing techniques should be coupled with clustering and scheduling methods to reduce the battery power consumption of mobile computers. In this study, three indexing schemes for multi-attribute queries, namely, index tree, signature, and hybrid index, are discussed. We develop cost models for these three indexing schemes and evaluate their performance based on multi-attribute queries on wireless data broadcast channels.

Original languageEnglish (US)
Pages157-166
Number of pages10
StatePublished - Jan 1 2000
Event2000 IEEE 16th International Conference on Data Engineering (ICDE'00) - San Diego, CA, USA
Duration: Feb 29 2000Mar 3 2000

Conference

Conference2000 IEEE 16th International Conference on Data Engineering (ICDE'00)
CitySan Diego, CA, USA
Period2/29/003/3/00

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

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