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Research Article |

A Fuzzy Logic Based Cluster Head Election Technique for Energy Consumption Reduction in Wireless Sensor Networks

Author(s): Catherine Onyango*, Kibet Lang’at and Dominic Konditi

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 4

Publisher : FOREX Publication

Published : 19 December 2023

e-ISSN : 2347-470X

Page(s) : 1136-1146

DOI: https://doi.org/10.37391/ijeer.110434

Abstract

Wireless sensor networks deploy sensor nodes to different areas for data collection. The small size of these sensor nodes allows limited energy storage capacity, and most applications of the networks do not support recharging the batteries once their energy is depleted. Research on energy efficiency in wireless sensor networks is thus an active area that seeks to minimize energy consumption so that the sensor nodes can live longer. Clustering, one of the energy consumption optimization techniques, is employed in this research. It splits the network into smaller groups for data collection and forwards the data to the base station via appointed cluster heads. A fuzzy-based cluster head election strategy is proposed here to improve energy efficiency in wireless sensor networks. The input parameters of the fuzzy inference system are chosen as the residual energy, the node centrality, and the mobility factor. The system generates an output of the chance of a node being selected as a cluster head based on the combination of the values of the given inputs. The simulation results show that the proposed model reduces the network’s overall energy consumption and extends the sensor nodes’ lifetime.

Keywords: clustering, energy consumption, fuzzy logic, network lifetime, wireless sensor networks.




Catherine Onyango*, Research Scholar, Department of Electrical Engineering, Pan African University Institute for Basic Sciences, Technology and Innovation, 62000-00200 Nairobi, Kenya; Email: cathyonyango@gmail.com

Kibet Lang’at, Associate Professor, Department of Telecommunication and Information Engineering, Jomo Kenyatta University of Agriculture and Technology, 62000-00200 Nairobi, Kenya; Email: kibetlp@jkuat.ac.ke

Dominic Konditi, Professor, School of Electrical and Electronic Engineering, Technical University of Kenya, 52428-00200 Nairobi, Kenya; Email: dominic.konditi@tukenya.ac.ke

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Catherine Onyango, Kibet Lang’at and Dominic Konditi (2023), A Fuzzy Logic Based Cluster Head Election Technique for Energy Consumption Reduction in Wireless Sensor Networks. IJEER 11(4), 1136-1146. DOI: 10.37391/ijeer.110434.