Evaluation of Fuzzy Logic-based Clustering Techniques for WSNs: Enhancing Power Efficiency in Wireless Sensor Networks using Fuzzy Logic-based Clustering Techniques

Abstract

Miniature devices that contain the sensing unit, data processing unit, and communicatingcomponents are termed sensors, and they are crucial to the development of low power, short distancecommunication. When compared to a conventional sensor, the sensor network is a vast improvement.Locational and thermal efficiency design problems Sensor node optimization is required due to theinability to easily replace or recharge the node's power supply. Saving power at each sensor node isessential for extending the life of the network as a whole. Together, sensor nodes form a cluster, or atightly knit group with a common goal. Clustering is used so that all of the available network power maybe put to good use. This study highlights some of the clustering procedures researched by currentresearchers that rely on fuzzy logic. In order to create cluster heads, residual energy parameters areused. Accessibility from the base station to the closest node is calculated using the protocols of fuzzylogic based clustering.