Privacy-Aware Energy-Efficient Framework Using the Internet of Medical Things for COVID-19

Abstract

SARS-CoV2 has caused a coronavirus disease known as COVID-19. It has become a pandemic all over the world that highly demands proper data interpretation to expand research findings. In the medical and healthcare systems, the Internet of Medical Things devices play a crucial role to gain the autonomous operation that provides an eco-friendly condition to medical practitioners and patients. In an emergency, healthcare-related data including heart rate, blood pressure, oxygen level, and temperature are transmitted to assess the condition of patients. It deploys low-power sensor nodes on the patient's body that periodically generates an analysis report to the medical center through the mobile sink. However, it is still challenging to analyze security risk and energy consumption. In the issue of unbalanced energy consumption, the low-power sensor nodes may degrade the delivery time of data transmission to the remote data centers. Therefore, this article presents a privacy-aware energy-efficient framework (P-AEEF) protocol to secure the medical information of the patient. The prime objective is to minimize the communication cost to improve the security features and energy efficiency against unauthentic access. The simulation result reveals that the proposed P-AEEF provides ~88.25 percent better performance efficiency than the other state-of-the-art approaches.