Optimizing Latency in SD-IoT through Heterogeneous Traffic Flow-Based Controller Placement
Raid Boudi, Mohammed Lalou, Nardjes Bouchemal, Chirihane Gherbi · 2024
In the context of disaster management, Software-Defined Internet of Things (SD-IoT) networks playa crucial role by utilizing critical real-time data essential for addressing disasters. However, managing these networks becomes more complicated due to the heterogeneity of traffic and the load generated by each switch when transmitting information to the controller. This heterogeneity makes the controller placement issue critical. To address this challenge, we propose an opti-mization method called HTF -CP (Heterogeneous Traffic Flow-Based Controller Placement), based on the well-known Lidy+ method, which optimizes the placement of controllers while managing heterogeneous traffic in the network. We demonstrate the approach's efficiency through simulations on datasets from the Internet Topology Zoo and OS3E. The proposed method is evaluated in terms of maximum latency, average latency, and load rate. The experimental results show that our HTF -CP method provides better performance compared to Lidy+ and the random method, where the controller is selected randomly.