원문정보
국제인공지능학회(구 한국인터넷방송통신학회)
International Journal of Internet, Broadcasting and Communication
Vol.8 No.1
2016.02
pp.148-154
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보