• Kumari Nishu
• Vivek Prakash Singh
• Hari Mohan Singh

Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited computation, communication, memory, and energy resources that are being used for huge range of applications where the traditional infrastructure-based network is mostly infeasible. The sensor nodes are densely deployed in a hostile environment to monitor, detect, and analyze the physical phenomenon and consume considerable amount of energy while transmitting the information. It is impractical and sometimes impossible to replace the battery and to maintain longer network life time. So, there is a limitation on the lifetime of the battery power and energy conservation is a challenging issue. Hierarchical or cluster based routing methods are well-known techniques with special advantages related to scalability and efficient communication. Clustering technique is also utilized as an energy-efficient routing in Wireless Sensor Networks where the nodes with the highest residual energy can be used to gather data and send the information. We proposed and analyzed a Fuzzy C-Means (FCM) based Efficient clustering algorithm for WSNs. A comparison among FCM has been done. Simulation result shows that proposed protocol can reduce energy consumption and improve the network lifetime.

Wireless Sensors Network, Fuzzy C-Means Clustering

"FCM Based Efficient Clustering Algorithm for Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.b445-b452, January-2022, Available :http://www.jetir.org/papers/JETIR2201159.pdf

"FCM Based Efficient Clustering Algorithm for Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppb445-b452, January-2022, Available at : http://www.jetir.org/papers/JETIR2201159.pdf