Enhancement in DDCSA for Improving Power Consumption and Network Lifetime of Wireless Sensor Networks using Geographical Forwarding with Face Routing Technique

Wireless sensor network (WSN) is combination of tiny sensors made up with MEMS technology and has important applications such as target tracking and environmental monitoring. In recent times WSNs becomes more attractive because of their sensing ability, low cost, self-organizing nature in different environments. In this paper we have discussed two existing techniques for data communication such as Normal technique and Distance and Density Based Cluster Selection algorithm (DDCSA) and we find that these two techniques are not optimal enough to save energy in a network. In DDCSA protocols there is a problem of cluster breaking and lot of energy is consumed to reforming clusters. In this paper we enhance the Distance and Density Based Cluster Selection Algorithm (DDCSA) using Geographical Forwarding with Face Routing Technique. Simulation Results shows that our Enhanced DDCSA performs better than DDCSA & Normal technique and gives better results in term of Energy spent, Average delay and Packet delivery ratio.