• Prerna Devi
• Megha Kimothi

Energy performance has become a big problem in wireless sensor (WSN) networks. The sensor networks are operated by batteries, and so they turn out to be dead after a certain interval. The improvement of energy-efficient data dissipation is however much more challenging to increase the communication cycle of network. The clustering strategy has already proven to improve or prolong WSN's life cycle. However, the main issue addressed the collection of optimum CH which allows the network service prompt. Bearing in mind various limitations thus far, further theoretical research on solving this issue has been published. Under this situation, this study aims to create a new clustering model with optimal selection of the cluster head by taking into account four main parameters such as capacity, time, distance and security. In addition, this work introduces a cluster head selection optimization model for selecting the optimal CHs in wireless sensor networks (WSN). It applies the grey wolf optimization. Optimization of the WSN cluster heads significantly affects the life span of the network. Grey Wolf Optimization (GWO) is a newly proposed optimizer which has many successful applications. The Sensor nodes sense the ambient atmosphere shifts and transmit the data to other network nodes named sink node or base station (BS). The proposed Grey Wolf Optimization (GWO) enhances the life cycle of the sensor network. The energy based GWO solution ultimately enhance the cycle of the network.

WSN, Grey Wolf Optimization, Base Station, Life Time of WSN

"Estimation of Life Time of WSN cluster based Network through Grey Wolf Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.1652-1656, October-2020, Available :http://www.jetir.org/papers/JETIR2010215.pdf

"Estimation of Life Time of WSN cluster based Network through Grey Wolf Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp1652-1656, October-2020, Available at : http://www.jetir.org/papers/JETIR2010215.pdf