Open AccessFLCH: Intuitionistic Fuzzy Logic based Cluster Head Selection in Wireless Sensor Networks
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1015.0789s219
Subject(s) - wireless sensor network , computer science , cluster analysis , selection (genetic algorithm) , fuzzy logic , energy (signal processing) , head (geology) , cluster (spacecraft) , scheme (mathematics) , efficient energy use , computer network , distributed computing , artificial intelligence , engineering , mathematics , electrical engineering , geology , mathematical analysis , statistics , geomorphology
A large number of tiny sensor nodes are grouped together to form Wireless Sensor Network (WSN). In Industry and other areas using of sensors are increasing every day. Therefore, the energy utilization of sensor nodes becomes a vital problem due to non-rechargeable battery. To improve the vital resources, the energy efficient clustering models are to be improved. This paper presents a novel idea IFLCH: Intuitionistic Fuzzy Logic based Cluster Head Selection for WSNs for electing Cluster Head (CH) based on the energy efficiency parameters such as residual energy, distance between neighbors. The proposed scheme also elects Super CH (SCH) based on the above-mentioned parameters along with number of neighbors. The simulation results compared the proposed model with the existing schemes and it receives better performance by selecting efficient CH and SCH.