JOURNAL ARTICLE

Two stage fuzzy logic based clustering approach wireless sensor network LEACH protocol

Abstract

Energy proficiency is an essential feature to intend an extensive existence wireless sensor network. More than a few methods have been proposed to boost the battery lifetime of sensor nodes. One of the methods is clustering approach which consists of two ways: selecting cluster heads with more residual energy and rotating cluster heads periodically from cluster to cluster thus extends the network lifetime. In this paper we present the wireless sensor networks by means of TSFL-LEACH (Two Stage Fuzzy Logic based Low Energy Adaptive Clustering Hierarchy) where completely two separate cluster levels are defined depending on the distance from the cluster heads and the cluster nodes. We also applied fuzzy asymmetrical clustering mechanism to prolong the lifetime of WSNs. We compare our algorithm with some popular algorithms namely LEACH, LEACH-C and EEUC. The simulation result shows that our bespoken edition improves the energy efficiency and enhances the life length of a wireless sensor network (WSN).

Keywords:
Wireless sensor network Cluster analysis Computer science Fuzzy logic Computer network Key distribution in wireless sensor networks Cluster (spacecraft) Wireless Energy (signal processing) Mobile wireless sensor network Wireless network Distributed computing Artificial intelligence Mathematics Telecommunications

Metrics

4
Cited By
1.10
FWCI (Field Weighted Citation Impact)
7
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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