A Deep Assessmen of Smart Logistics Kind of Parks with the Fog Based and Enabled Sensor Cloud Type Platforms

The purpose of this research is to compare, in the environment of a clever logistics park, the effectiveness of fog-enabled sensor clouds (FSC) with traditional cloud computing with fog computing models. Expanding on our earlier work, we describe the physical instrument virtualization framework and scheme that are essential to the envisioned FSC. There is a careful construction of the network model and a mathematical explanation of the FSC parameters. We use a well-known logistics company in China is a case study to assess the efficacy of the suggested platform and clarify the network architecture in a real-world logistics situation. The experiment's results confirm that, with regard to bandwidth usage and service delay, the FSC for logistics parks is demonstrably superior to standard internet-based and fog computing models.