Evaluation of Fuzzy Logic-based Clustering Techniques for WSNs | Original Article

ABSTRACT:

Miniature devices that contain the sensing unit, data processing unit, and communicating components are termed sensors, and they are crucial to the development of low power, short distance communication. 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 the inability to easily replace or recharge the node's power supply. Saving power at each sensor node is essential for extending the life of the network as a whole. Together, sensor nodes form a cluster, or a tightly knit group with a common goal. Clustering is used so that all of the available network power may be put to good use. This study highlights some of the clustering procedures researched by current researchers that rely on fuzzy logic. In order to create cluster heads, residual energy parameters are used. Accessibility from the base station to the closest node is calculated using the protocols of fuzzy logic based clustering.