DefinePK

Abstract

In this research paper SOM and Genetic algorithm have been used to cluster the MANETS (Mobile Ad Hoc Networks) to enhance overall QoS of the network. The Machine Learning (ML), Artificial Intelligence (AI) and Computational Intelligence (CI)) optimize and speed up the calculation in every sphere of computation, thus they are being used in this research. In this research a system has been proposed which not only fasten clustering process of a MANET in to desirable groups but also used these clusters to optimize the path selection, Mobility prediction and congestion identification. Self Organizing Maps (SOM) and Genetic Algorithms (GA) are used here to first cluster the network, selection of suitable Cluster Head and then to optimize the results to empower the MANET, to select the best and optimum path on the criterion of Mobility, Congestion and Hop count in every type of algorithms. This research also includes the study of main reasons responsible for degrading QoS (or Quality of Service). In this proposed CI based approach the QoS is enhanced it could be verified as improved throughput and decreased Delay.