Wireless Sensor Networks (WSNs) is one of the emerging and fast growing fields in the scientific world which has a wide range of applications like monitoring physical world events, preparing forecasts, severe environment detection, disaster relief, battlefield surveillance etc. WSNs are highly integrated technologies using sensors, microcontrollers and wireless networking capabilities that operate unattended in harsh environments with limited energy supplies. Thus network lifetime is constrained by the limited power supply of nodes. Clustering plays an effective role in judicious use of dwindling energy resources of the deployed sensor nodes. Nodes are grouped into clusters and a specific designated node, called the cluster head is responsible for its cluster. In this paper, we study the energy efficiency of clustering algorithms S-Web and LEACH. Our results show that the S-Web clustering achieves a noticeable improvement in the network lifetime.