A Joint Clustering and Routing Algorithm based on GA for Multi Objective Optimization in WSN

Reducing energy consumption is the most serious issue of the Wireless Sensors Networks (WSN) topology design due to the resources constraint. Genetic Algorithm (GA) is used as a suitable solution to better manage energy consumption and increase the whole network lifetime. In such context, a new joint Clustering and Routing algorithm based on GA for Multi Objective Optimization (CRMOGA) is proposed for finding the optimal network configuration. Simulation result proofs that the proposed CRMOGA approach performs better than LEACH and the recently proposed Two-Level Clustering (TLC) scheme and enhances the network lifetime.