QoS-Based Routing Algorithm for Software-Defined Network Using Ant Colony Optimization

Recently, software-defined networking (SDN) is the most promising solutions for future network. In SDN, networking architecture combines central management along with network programmability. It separates network management from the underlying network infrastructure, allowing administrators to dynamically adjust network-wide traffic flow to meet the changing needs. Due to these unique features, SDN easily manages network, gives better performance than traditional network, and provides higher flexibility. In this paper, we have proposed an ant colony optimization-based routing protocol targeting to achieve significant value of various QoS parameters. The proposed methodology is based on the classification of various types of traffic. To classify the traffic, we introduce to the bandwidth requirement for multimedia traffic like audio, video, and text. Here, our method is compared with particle swarm optimization-software-defined network (PSO-SDN), The results obtained in terms of various QoS parameters show that ant colony optimization outperforms to PSO-SDN. Finally, we concluded the paper with few suggested open research challenges.