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
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;
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
DOI :
10.1109/ITCS.2009.299
