Young-il Song, Kye-Dong Jung, Seong Ro Lee, Jong-Yong Lee
언어
영어(ENG)
URL
https://www.earticle.net/Article/A275007
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원문정보
초록
영어
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
목차
Abstract 1. Introduction 2. Related Works 2.1 LEACH 2.2 TEEN 3. Propose of FL(Fuzzy Logic)-TEEN 3.1 Fuzzification & Defuzzification System 3.2 Algorithm 4. Simulation and Result 4.1 Simulation Environment 4.2 Comparing Network Lifetime 4.3 Analyze energy consumption 4.4 Analyze Result of Cluster Head Selection 5. Conclusion References