Probabilistic Density Based Adaptive Clustering scheme to improve network survivability in WSN

The popularity of Wireless Sensor Network (WSN) has increased tremendously in recent times. It consists of small nodes with sensing, computation, and wireless communication capabilities. It requires efficient approach that makes judicious use of energy constrained wireless sensor networks, thus Probabilistic Density Based Adaptive Clustering (PDBAC) scheme is proposed to improve the network survivability using LEACH (Low Energy Adaptive Clustering Hierarchy) protocol, which is one of the popular routing protocol for WSNs. MATLAB simulation results show that PDBAC scheme is more energy efficient in terms of dead nodes, throughput and balance energy of nodes. Average efficiency is also greater than Basic LEACH and I-LEACH, thereby extending the network survivability.