Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2008.11a
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- Pages.1039-1042
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- 2008
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
An Intelligent Clustering Mechanism by Fuzzy Logic Inference
- Pascalia Handayani (Dept. of Computer Science, Kyungsung University) ;
- Young-Taek Kim (Dept. of Computer Science, Kyungsung University)
- Published : 2008.11.14
Abstract
Wireless sensor networks enable pervasive, ubiquitous, and seamless communication with the physical world. In this paper, we are concerned for clustering sensors into groups, so that sensors communicate information only to cluster heads and then the cluster heads communicate the aggregated information to the sink node, that the network can save energy. In this paper, we propose the algorithm for electing the cluster head and fuzzy registration of cluster head in a dynamic cluster wireless sensor networks. For making decision for clustering we will use fuzzy logic system. In simulation, we could achieve power regulation of total consumption and also the stabilization of the networks energy efficiency.
Keywords