A Study of Cluster Head Election of TEEN applying the Fuzzy Inference System
Young-Il Song, Kye-Dong Jung, Seong Ro Lee, Jong-Yong Lee · International journal of advanced smart convergence · 2016
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.