• R.Kavi priya
• Dr.M.Tamilarasi
• Dr.l.Ashok kumar

Wireless sensor networks play an emerging role in real time application. A collection of sensor nodes which deploy to monitor and sense the information about the surrounding environment is called WSN. There are many research focuses in Wireless sensor networks are that optimal path planning between the sensor nodes, energy preservation, node localization, security etc. In our paper the primary focus is that avoid obstacles and provide optimum path planning as well as energy preservation in WSN between the nodes for node localization. To find location of node plays an important role in WSN. First unknown nodes are distributed in the network region in which cluster head node selects .The MH is to moves in and around the area of network and find its own location and broad cast the message to the unknown node using swarm intelligence algorithm in a way the localization error is minimized and maximum the number of node is localized. We propose a swarm intelligence method called BAT algorithm and Grey Wolf Optimization (GWO). The CH node finds its own location using GPS and CH node broadcasts its location to the Unknown node in a way CH nodes finds obstacles and provide optimum path planning using BAT algorithm an. In this paper a comparative study of BAT algorithm-and GWO based path planning provide outcomes in comparison to other existing algorithm like in several metric such as increase the ratio of localization and minimize the error rate of localization

WSN’s ,BAT, GWO, Cluster Head

"OPTIMAL PATH PALNNING FOR NODE LOCALIZATION USING BAT AND GWO OPTIMIZATION TECHNIQUES: A COMPARITIVE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.208-212, June-2019, Available :http://www.jetir.org/papers/JETIR1906176.pdf

"OPTIMAL PATH PALNNING FOR NODE LOCALIZATION USING BAT AND GWO OPTIMIZATION TECHNIQUES: A COMPARITIVE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp208-212, June-2019, Available at : http://www.jetir.org/papers/JETIR1906176.pdf