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Data mining via minimal spanning tree clustering for prolonging lifetime of wireless sensor networks

Huang, Guangyan, Li, Xiaowei, He, Jing and Li, Xin 2007, Data mining via minimal spanning tree clustering for prolonging lifetime of wireless sensor networks, International journal of information technology and decision making, vol. 6, no. 2, pp. 235-251, doi: 10.1142/S0219622007002538.

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Title Data mining via minimal spanning tree clustering for prolonging lifetime of wireless sensor networks
Author(s) Huang, GuangyanORCID iD for Huang, Guangyan orcid.org/0000-0002-1821-8644
Li, Xiaowei
He, Jing
Li, Xin
Journal name International journal of information technology and decision making
Volume number 6
Issue number 2
Start page 235
End page 251
Total pages 17
Publisher World Scientific Publishing
Place of publication Singapore
Publication date 2007-06
ISSN 0219-6220
Summary Clustering is applied in wireless sensor networks for increasing energy efficiency. Clustering methods in wireless sensor networks are different from those in traditional data mining systems. This paper proposes a novel clustering algorithm based on Minimal Spanning Tree (MST) and Maximum Energy resource on sensors named MSTME. Also, specified constrains of clustering in wireless sensor networks and several evaluation metrics are given. MSTME performs better than already known clustering methods of Low Energy Adaptive Clustering Hierarchy (LEACH) and Base Station Controlled Dynamic Clustering Protocol (BCDCP) in wireless sensor networks when they are evaluated by these evaluation metrics. Simulation results show MSTME increases energy efficiency and network lifetime compared with LEACH and BCDCP in two-hop and multi-hop networks, respectively. © World Scientific Publishing Company.
Language eng
DOI 10.1142/S0219622007002538
Field of Research 0801 Artificial Intelligence And Image Processing
080109 Pattern Recognition and Data Mining
080504 Ubiquitous Computing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2007, World Scientific Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083659

Document type: Journal Article
Collection: School of Information Technology
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