Abstract

Wireless sensor networks are fast developing technical platforms with a wide range of applications. It’s tough to replace or recharge sensor nodes'' power supply because they''re battery-powered and may be employed in hazardous or inaccessible areas. In sensor networks, reducing energy consumption has long been a critical concern. Due to the lengthy distance between sensor nodes and the base station, data transmission from sensor nodes to the base station consumes the majority of the energy. Several academics have recently claimed that clustering is an effective approach to reduce energy consumption during data transmission while also extending the lifetime of networks. In this paper, an energy-optimized-fuzzy based clustering (EOFBC) strategy is used to improve the transmission efficiency and network longevity of network. The simulation findings suggest that proposed fuzzy logic-based techniques are superior to the existing clusteringbased protocols. The simulation findings also reveal that the proposed scheme outperforms the other existing algorithms and significantly increases the lifetime of sensor networks.