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An improved data streams processing algorithm for sensor networks based on training weights

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In order to enhance the performance of SPIRIT, in this paper we propose an improved multi-streams processing algorithm for data streams processing of sensor networks. The improved algorithm adapts the orthogonalization step and the training step for tracking weights vectors. Simulation experimental results show that compared to the original algorithm, the improved algorithm can reduce the reconstruction error, increase the energy fraction of reconstruction, and decrease the number of hidden variables, so it extract the principal components among streams more effectively.

Original languageEnglish
Title of host publicationICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
PagesV3606-V3609
DOIs
StatePublished - 2010
Event2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010 - Chengdu, China
Duration: 16 Apr 201018 Apr 2010

Publication series

NameICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
Volume3

Conference

Conference2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010
Country/TerritoryChina
CityChengdu
Period16/04/1018/04/10

Keywords

  • Data streams
  • Orthogonalization
  • Sensor networks
  • Training weights

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