FoMS: Fog-Enabled Mobile Sensor Virtualization Architecture for IoT Applications
Arijit Roy, Krovvidi Kusumanjali, Padala Abhinav Kiran, Farid Naït‐Abdesselam · 2023
This work proposes a Fog-enabled Mobile Sensor (FoMS) virtualization platform for serving Internet of Things (IoT) applications. Traditionally, a Mobile Sensor-Cloud (MSC) architecture uses the concept of mobile sensor virtualization and provisions mobile Sensors-as-a-Service (mSe-aaS) to serve multiple IoT applications. However, the existing architecture of MSC does not consider time-critical IoT applications such as transportation, industry, and rescue management. Therefore, considering these time-critical applications, we propose the FoMS architecture, which is capable of reducing overall service latency for an application. In FoMS, we adopt the inherent characteristics - of handling service latency - of fog computing in MSC architecture to provide virtualized mSe-aaS in the stipulated time. As fog computing is new to an MSC architecture, the existing fog node selection schemes are unsuitable for FoMS. Therefore, we design a scheme for selecting a suitable fog node for FoMS and proposed an optimal pricing strategy for the selected fog node. We depict the effects on the utility and price for the different parameters we considered.