Fog-Based Smart Road Safety Application Using IoT

Abstract

Smart devices generate an unprecedented volume and variety of data. These volumes of data are most often intended to be processed and analyzed. Cloud computing paradigms are not really suited for the type and speed of data created by the Internet of Things in real-time (IoT). The fog computing model can be considered a technological innovation on the Internet. This new distributed computing system will have to be applied in multiple areas affecting the individuals lives to overcome the latency, bandwidth, and energy consumption limitations of IoT-Cloud models. Many applications can benefit from this infrastructure for processing data from sensors in a city or intelligent factory context. This work aims to model road safety and provide a timely response for road accident applications on fog-cloud infrastructures. We need to develop mechanisms for managing computing, storage, and network resources. The performance evaluation system and experiments have been conducted using Ifogsim simulator. The final findings demonstrate the efficiency of the model system in the hybrid fog cloud environment.