IFLCH: Intuitionistic Fuzzy Logic based Cluster Head Selection in Wireless Sensor Networks
A. Krishnakumar1, D. Saraswathi2
1Dr. A. Krishnakumar, Department of Environmental Engineering, University of Kerala,
2D. Saraswathi, Department of Environmental Engineering, University of Kerala.
Manuscript received on 09 August 2019 | Revised Manuscript received on 16 August 2019 | Manuscript Published on 31 August 2019 | PP: 78-83 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10150789S219/19©BEIESP DOI: 10.35940/ijitee.I1015.0789S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Energy, Intuitionistic Fuzzy Logic, Sensor Nodes, Super Cluster Head (SCH), Number of Neighbors.
Scope of the Article: Fuzzy Logics