• Richa Tiwari
• Dr.Neelesh Mehra

Today,Wireless Sensor Network has been widely used in many areas such as battle field surveillance, industry process control,pipeline monitoring, environmental monitoring and control, healthcare and medical research, national defense and military affairs etc. In all these key application areas, localization play an important role.Localization in wireless sensor network is the process of determining the geographical positions of sensors. This consumes the major portion of energy contained by the network.The problem is more serious as sensor node have limited computation capability,limited power and small memory size so it is difficult to use the same routing algorithm as used in other adhoc network.This paper, proposed the use of dynamic power management system along with routing algorithm based on Tabu search and Fuzzy Inference System for forming clusters and identifying cluster head.The proposed Tabu search algorithm carries out two neighborhood generating opertaion in order to determine an optimal path from a source to a destination and minimize algorithm execution time between cluster head.Meanwhile to identify the cluster Head Fuzzy inference system is used.The proposed algorithm is implemented using MATLAB software and the reduce energy consumption and increase packet delivery ratio(PDR) shows the edge of proposed algorithm over existing algorithm.

WSN,TSA,FIS,PDR

"Hybrid Energy Efficient Scheme For Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.527-532, February 2020, Available :http://www.jetir.org/papers/JETIR2002485.pdf

"Hybrid Energy Efficient Scheme For Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp527-532, February 2020, Available at : http://www.jetir.org/papers/JETIR2002485.pdf