In today’s era of IoT, current and updated information plays a major role. This demand leads to the extensive use of wireless sensor network in many application areas. A wireless sensor network is made up of small sensing devices which are capable to sense an event or an activity around, compute this sensed data and communicate it to the nearby sensors or receiving base station for further processing and analysis. These sensors operate on limited supply of power and mostly deployed in unfavorable conditions, where human intervention to change the power supply or sensor itself, is either difficult or not feasible. This situation brings our focus to energy conservation in WSN. As per the literature survey among the various measures for energy conservation solutions for a network, appropriate route setup for data transmission is the important remedial measure. Routing protocols which are based on network structure are said to consume less energy for transmitting the sensed data. Among which hierarchically structured Tree-based clustering routing protocols are best-suited solution for reducing energy utilization, as it avoids unnecessary and repetitive data transmission. In this paper, our aim is to optimize the existing Tree-based clustering routing protocol to create an energy efficient green wireless sensor network. The proposed method comprises of three steps, which are constructing a Hop Tree structure, creating a Cluster and Selection of Cluster Head and finally establishing an efficient and reliable route. The simulation analysis is done using Network simulator, MatLab2019b. Secondly, the performance of Green Tree Based Clustering (GTBC) is analyzed and compared with the existing TBC routing protocol on the basis of Network Lifetime, Average residual energy, Throughput of the network, Packet delivery ratio and Packet loss ratio. Results shows GTBC outperforms the existing TBC protocol in all the aspects hereby increasing the lifespan of the network.