Output details
11 - Computer Science and Informatics
Robert Gordon University
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Output 0 of 0 in the submission
Output title
Clustering Distributed Time Series in Sensor Networks
Type
E - Conference contribution
Name of conference/published proceedings
ICDM '08. Eighth IEEE International Conference on Data Mining, 2008.
Volume number
-
Issue number
-
First page of article
678
ISSN of proceedings
1550-4786
Year of publication
2008
URL
-
Number of additional authors
1
Additional information
This paper proposed a novel method for clustering sensor nodes in the network based on similarity of produced time series and proximity among densely deployed wireless sensor nodes. The novel clustering technique has been thoroughly tested on real datasets showing results proving it to be the best performing incremental and in-network clustering in wireless sensor networks for such experimental settings. The technique was developed in response to the need to have intelligent irrigation system preserving water, and was supported financially by the Australian government. The paper is published in ICDM, the world premier data mining conference.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-