GA GSA-based Energy Efficient Pegasis Protocol for WSN

WSN is termed as wireless sensor network that consists of very large number of nodes that are connected with each other. These nodes are used to sense large amount of distinct data, interact with each other, and are computationally capable. The sensor nodes deployed in wireless network are light in weight and have constrained battery power. Hence, energy is a main problem of wireless sensor networks. This paper proposes a method for energy minimization with efficient clustering using GSA algorithm in Wireless Sensor Network. To compute cluster head election probability this work uses Genetic Algorithm method. Various parameters are used to evaluate the performance of the proposed technique. Experimental results demonstrate that the proposed technique outperforms existing techniques by various parameters.