Smart Schools: Using IoTs and Fog Computing to Predict Underperformance

Abstract

The existing centralized computing paradigm is no longer suitable to achieve the digital continuum in the ever-growing Internet of Things (IoTs). IoT-based applications and the data harvested by these smart objects require a design of a system model that can handle intensive data and provide suitable communication protocols. In this paper, we present a school attendance system that facilitates the usage and collaboration of the digital continuum in a manner that shuns high bandwidth consumption and big latency. This work has the following contributions: (a) offers a novel usage of IoTs and fog in the school absenteeism system. It promotes a transparent workload offloading among the digital continuum layers (IoTs, edge, HPC, big data, Artificial Intelligence (AI), cloud) using two famous protocols, MQTT and TCP; (b) presents a case study that utilizes the digital continuum to achieve a task of interest.