Pervasive Communications Technologies For Managing Pandemics
Muhammad Ilyas, Basit Qureshi

TL;DR
This paper explores how integrating IoT, MEC, and AI technologies can enhance pandemic management by enabling real-time data collection, remote medical support, and efficient AI deployment in field conditions.
Contribution
It introduces a prototype demonstrating the convergence of pervasive technologies like IoT, MEC, and AI for effective pandemic response and remote medical support.
Findings
Prototype successfully collects data and runs AI algorithms in mobile medical units.
Integration of IoT, MEC, and AI supports remote healthcare operations.
Demonstrates feasibility of low-cost SBC clusters for pandemic management.
Abstract
Pandemics always have had serious consequences unless they were effectively contained. Recent experiences with COVID-19 show that by using a smart and swift approach to deal with pandemics, avoids overwhelming of healthcare systems, and reduces the loss of precious life. This paper is about using smart technologies such as Mobile Edge Clouds (MEC), Internet of Things (IoT), and Artificial Intelligence (AI), as an approach to effectively manage pandemics. IoT provides pervasive connectivity among various devices and can be used for collecting information such as location and symptoms of potentially infected individuals. MECs provide cloud services on the edge, integrating IoT infrastructure and execution of sophisticated AI algorithms in the Cloud. In this paper, we develop a prototype to demonstrate the convergence of pervasive technologies to support research in managing pandemics.…
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