Genetic Algorithm Based Optimized Routing Methodology through Big Data Analytics in MANET

MANET faces topology dynamics due to its infrastructure less nature and faces issues of energy conservation and node movement that requires the concept of dynamic load balancing based routing coming through the structure of big data analytics. The lifetime of a network is governed through the concept of load balancing and QOS based data transfer governed by effective routing. Application of genetic algorithm helps optimizing the networks performance and accumulated the changes of topology. Genetic algorithm helps to select the energy efficient cluster for maintaining the load balance routes the data efficiently. Simulation results of the proposed "Genetic Algorithm Based Optimized Routing Methodology through Big Data Analytics in MANET" increases the networks lifetime by QOS optimization.