International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Study of Cluster Head Election of TEEN applying the Fuzzy Inference System

  • Song, Young-il (Department of Information System, Kwangwoon University Graduate School of Information Contents) ;
  • Jung, Kye-Dong (Department of Culture, Kwangwoon University) ;
  • Lee, Seong Ro (Department of Information & Electronics Engineering, Mokpo National University) ;
  • Lee, Jong-Yong (Department of Culture, Kwangwoon University)
  • Received : 2016.01.18
  • Accepted : 2016.02.15
  • Published : 2016.03.31
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Abstract

In this paper, we proposed the clustering algorithm using fuzzy inference system for improving adaptability the cluster head selection of TEEN. The stochastic selection method cannot guarantee available of cluster head. Furthermore, because the formation of clusters is not optimized, the network lifetime is impeded. To improve this problem, we propose the algorithm that gathers attributes of sensor node to evaluate probability to be cluster head.

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References

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