Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT Networks

The Internet of Things (IoT) has revolutionized industrial environments by offering various solutions for control and automation. However, the increasing number of machines and the resulting massive traffic volumes pose significant challenges in achieving Quality of Service (QoS) and avoiding network overload. In addition, it is important to note that various categories of applications within the IoT necessitate distinct QoS considerations. Moreover, traffic allocation among IoT servers should be based on their respective capacity levels. In order to tackle these challenges, this study presents an innovative framework utilizing Software-Defined Networking (SDN) to effectively meet the QoS demands of diverse IoT services while also achieving traffic equilibrium among IoT servers. The experimental results indicate improved IoT QoS parameters, including throughput and delay, while maintaining a low control plane overhead.