Referenced Items are not available for this document.
This letter presents a pattern discovery algorithm for multi-streams mining in wireless sensor networks. The algorithm adapts operators of Genetic Algorithm with Elitism Strategy into the iteration in tracking weights. We describe the algorithm, give the explanation of correctness, and evaluate its performance using simulation. We conclude that the proposed algorithm can reduce the reconstruction error, and decrease the number of hidden variables so it is more suitable for wireless sensor networks than the existing distributed algorithms.
Published in:
Communications Letters, IEEE
(Volume:15
,
Issue:
4
)
Date of Publication: April 2011
- Page(s):
- 419 - 421
- ISSN :
- 1089-7798
- INSPEC Accession Number:
- 11929621
- Digital Object Identifier :
- 10.1109/LCOMM.2011.022411.101804
- Product Type:
- Journals & Magazines
- Date of Publication :
- 03 March 2011
- Date of Current Version :
- 11 April 2011
- Issue Date :
- April 2011
- Sponsored by :
- IEEE Communications Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
