Wireless Sensor Network (WSN) is an important component of the Internet of Things. A WSN constitutes several Sensor Nodes (SN) that sense the various changes in the atmosphere, such as humidity, temperature, pressure etc. The Sensor Node (SN) used in WSN is powered by an inbuilt battery and performs sensing and data transmission to other SN in the network. As a result, the energy of SN is critical in WSN. The intelligent models are proposed in the present time in order to solve network issues by optimizing or decreasing the overhead to improve the WSN's energy efficiency. In this paper, a Fuzzy based approach integrated with Grey Wolf Optimization Algorithm (FGWOA) is proposed that aids cluster formation to find efficient and optimal solution for choosing the aggregation points using the Cluster Heads (CHs), and determining the best optimal path for transmission of data to the network Base Station (BS). The proposed optimal selection of different aggregation points causes the node's lifetime to be maximized. The simulation performance of FGWOA show better performance compared to various existing protocols and enhanced network lifespan.