Published Paper Details:

Mobile Ad-hoc Network have various techniques for improving the energy efficiency of routing between the mobile nodes. These modules are interconnected via wireless links. The mobility and limiting battery life of MANETs are the crucial aspects. Advanced strategies for increasing MANET energy efficiency and network lifespan are necessary. Clustering is a tried-and-true technique for prolonging the life of a network by reducing and balancing energy consumption. The network's energy performance is improved even more by selecting an appropriate cluster head from the cluster. Cluster heads (CHs) require more energy than non-cluster heads due to the additional responsibilities, Cluster heads (CHs) need more energy than non cluster heads. To increase the MANET network's energy efficiency and lifetime, a new technique for CH selection using a Hybrid Particle Swarm Optimization-Genetic Algorithm (PSO-GA) is proposed. Its an another approach of Hybrid Particle Swarm Optimization-Differential Evolution (PSO-DE). The proposed method is implemented using the NS-3 platform for the analysis. The Hybrid PSO-GA strategy is more efficient than the other methods, according to the evaluation.