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An Energy Optimized Fuzzy Based Clustered Routing Protocol For Wireless Sensor Network


Affiliations
1 Department of Computer Science and Engineering, Dr. K.N. Modi University, India
2 Department of Electronics and Communication Engineering, Government Engineering College, Bharatpur, India
     

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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 clustering-based protocols. The simulation findings also reveal that the proposed scheme outperforms the other existing algorithms and significantly increases the lifetime of sensor networks.

Keywords

Wireless Sensor Network, Fuzzy Logic, Lifetime
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  • An Energy Optimized Fuzzy Based Clustered Routing Protocol For Wireless Sensor Network

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Authors

Poonam Tiwari
Department of Computer Science and Engineering, Dr. K.N. Modi University, India
Sandeep Kumar Gupta
Department of Computer Science and Engineering, Dr. K.N. Modi University, India
Aruna Pathak
Department of Electronics and Communication Engineering, Government Engineering College, Bharatpur, India

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 clustering-based protocols. The simulation findings also reveal that the proposed scheme outperforms the other existing algorithms and significantly increases the lifetime of sensor networks.

Keywords


Wireless Sensor Network, Fuzzy Logic, Lifetime

References