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Multimedia Tools and Applications

, Volume 76, Issue 17, pp 18175–18190 | Cite as

Improving adaptive cluster head selection of teen protocol using fuzzy logic for WMSN

  • KyeDong Jung
  • Jong-Yong LeeEmail author
  • Hwa-Young Jeong
Article

Abstract

In this paper, we proposed the clustering algorithm using fuzzy inference system for improving adaptability the cluster head selection of TEEN for the wireless multimedia sensor network. The stochastic selection method cannot guarantee available of cluster head. Furthermore, as 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.

Keywords

WMSN (Wireless Multimedia Sensor Network) BSN (Body Sensor Network) TEEN Fuzzy logic Energy efficiency Hierarchical Routing Protocol 

Notes

Acknowledgements

This work reported in this paper was conducted during the sabbatical year of kwangwoon university in 2015.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Ingenium college of liberal arts, KwangWoon UniversitySeoul,Korea
  2. 2.Humanitas College, Kyung Hee UniversitySeoul,Korea

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