Published Paper Details:

In Wireless Sensor Network system Energy Consumption and Life time are the major design issues. Because sensors are usually battery operated; Hence optimization of Energy is very much required to increase the node life time as well as network life time too. Which indirectly improves the performance of the network. Meta heuristic algorithms are one of the best suitable way to optimize in wireless sensor networks (WSN). The proposed algorithm is to analyze the life time and minimizes the energy consumption of the network based on the meta- heuristic algorithm. Clustering is the most prominent data analysis technique to identify homogeneous groups of objects based on the values of their attributes. For clustering, the energy of each individual nodes assume to be similar to that of the light intensity of fireflies in FA algorithm. The movement nature of firefly in FA algorithm is similar to change the location of the cluster head. The movement of less attractive fireflies towards more attractive fireflies is similar to clustering of less energy nodes towards the higher energy nodes. The proposed energy optimization algorithm based on metaheuristic algorithm like firefly which is seen to provide better performance than the traditional direct transmission and LEACH ( Low Energy Adaptive Clustering Hierarchy) protocols. The proposed model improves the lifetime of the network and residual energy of the wireless sensor network.