The ACO Algorithm to Solve the Issue for a Traffic Engineering in the SDN

Abstract

A While software-defined networking (SDN) offers flexibility and excellent programmability, it faces challenges in optimizing traffic engineering to adapt to changing network conditions. Enhancing SDN functionality relies heavily on effective traffic allocation and resource efficiency. Therefore, the necessity for an efficient, scalable, and adaptive algorithm is crucial to enable intelligent flow control and network improvement. Despite numerous proposed solutions within this realm, the absence of a precise and efficient algorithm for managing traffic in SDN networks remains apparent due to the complexity of the problem. In this study, an enhanced ACO algorithm was implemented for traffic management in an SDN network. The findings from simulations conducted on various network topologies indicate that the ACO algorithm significantly enhances network traffic distribution by identifying more optimal paths, thereby promoting load balancing within the network.