• Samreen Kosser
• Vikas Kumar

Wireless sensor network is a group of nodes that are connected to each other by wireless connection. These type of network work on the dynamic topology of the network because positions of nodes in the wireless network are changing continuously. The nodes in WSN are basically made up of small electronics device which are used for sensing, computing and transmitting the data. The nodes are run on the battery power during communication process. The battery consumption in WSN is very high due to high computation operations on it. In the recent years WSN grows at very high at the research area is also increased in this field to provide effective computation. By considering the network structure routing is categorized into two parts that are flat and hierarchical routing. In this proposed work cluster are made by WCA-GA (Grey Wolf optimization) on the basis of distance and energy parameters. The cluster head is also selected on the basis of WCA-GA and GSA in three different metrics. At the end the performance evaluation of the proposed work is compared with the existing approach Leach on the parameters of Throughput, Dead node, alive nodes, and energy.

Wireless Sensor Networks, Grey Wolf optimization, Artificial Neural Network, Clustering Algorithm.

"Improved Network Stability in Wireless Sensor Network By Hybrid Evolutionary Approach Using Water Cycle Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.43-49, June 2019, Available :http://www.jetir.org/papers/JETIR1906O07.pdf

"Improved Network Stability in Wireless Sensor Network By Hybrid Evolutionary Approach Using Water Cycle Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp43-49, June 2019, Available at : http://www.jetir.org/papers/JETIR1906O07.pdf