• Sri S. Suresh Babu
• Dr. N.Geethanjali

Wireless Sensor Networks (WSNs) are a collection of battery-powered, small sensor nodes with a wide range of applications in everyday life. Because sensor nodes consist of limited energy resources, energy efficiency while routing is a significant requirement in WSNs. The fundamental difficulty with wireless sensor networks is efficient energy use. Many academics have previously worked on determining the best route among a member node and a drain node with the purpose of prevent energy consumption of the network and improve lifetime of network. WSNs have a variety of obstacles, but one of the most difficult is determining how to decrease energy consumption. The existing literature on clustering and routing approaches was examined and categorized based on their Optimization strategies. The procedures were characterized as metaheuristic-based, fuzzy logic-based, or hybrid method-based depending on the technique characteristic and operating approach. Efficiency, clustering, optimization variables, and factors that influenced protocol efficacy were used to compare the different types of protocols. A detailed survey of Optimization technique-based routing and clustering is offered in this research. This thorough evaluation provides an in-depth overview of previous research in the field of WSNs.

Energy Efficient, Clustering, Optimization, and metaheuristic.

"A Review on Energy Efficient Clustering and Routing Protocol for Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.a217-a222, December-2022, Available :http://www.jetir.org/papers/JETIR2212026.pdf

"A Review on Energy Efficient Clustering and Routing Protocol for Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppa217-a222, December-2022, Available at : http://www.jetir.org/papers/JETIR2212026.pdf