Software Defined Network Level for Local Processing and Global Processing of IoT-Fog Network Events

A Software Defined Network (SDN) is a modern networking approach that makes it possible to directly program and manage network traffic, while also simplifying the underlying infrastructure for applications and services. It works by separating the decision-making (control plane) from the actual data transmission (data plane), giving greater flexibility and control over how networks operate. Fog Computing architecture and Internet of Things (IoT) devices are combined to create IoT-Fog Networks, which aim to solve the issues of latency, scalability, bandwidth limitations, and real-time data processing. The intermediary processing resources known as fog nodes are situated nearer the network's edge in fog computing. The majority of fog devices are not very computationally or memory-intensive. The task of skillfully handling these constraints in order to fulfill the requirements of multiple applications is difficult. Samples in the current IoT-Fog network are overly delayed in their communication or, on occasion, may be lost due to communication and processing overload due to congestion between devices and gateways. One way to address this is to provide a method that is effective for handling IoT-Fog Events in Software Defined Network (SDN), both locally and globally.