DocumentCode
2757155
Title
A Clustering Algorithm Based on K-means for Wireless Indoor Monitoring System
Author
Xiao Hui Li ; Kang Ling Fang ; Zhang, Liang ; He, Jian
Author_Institution
Eng. Res. Center of Metall. Autom. & Meas. Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Volume
1
fYear
2009
fDate
25-26 July 2009
Firstpage
488
Lastpage
492
Abstract
The clustering algorithms for wireless sensor networks might differ depending on the application and network architecture. Not all clustering algorithms are suitable for wireless indoor monitoring system. In this article, we summarize the features of wireless indoor monitoring system, analyze the clustering algorithms for wireless sensor networks, and provide a clustering algorithm based on K-means for wireless indoor monitoring system.
Keywords
indoor radio; wireless sensor networks; K-means clustering algorithm; network architecture; wireless indoor monitoring system; wireless sensor network; Algorithm design and analysis; Automation; Base stations; Clustering algorithms; Educational technology; Monitoring; Sensor phenomena and characterization; Sensor systems; Systems engineering education; Wireless sensor networks; K-means; clustering; monitoring system; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location
Kiev
Print_ISBN
978-0-7695-3688-0
Type
conf
DOI
10.1109/ITCS.2009.299
Filename
5190118
Link To Document