DefinePK

Abstract

For human healthcare, the need for
comprehensive systems for healthcare data sharing is
ever-expanding. Context-Aware Applications using the
Internet of Things have inveigled each industry over the
globe. IoT-supported healthcare systems have been
developed with efficient gateways that react like a
connection between cloud computing and multivarious
sensors. This paper addresses the concept of monitoring
Covid-19 patients with an IoT-based Context-Aware
System. The storage of healthcare systems’ massive data
on the cloud causes latency issues and creates a lot of
trouble during real-time analysis. The introduction of
edge computing for real-time analysis can reduce these
issues. Our research proposed a fraught model that will
monitor and track the patients’ health records daily for
smart self-treatment. We introduced the concept of
context-aware wearable sensors to minimize actuation,
transmission, and processing. Our model entails a cluster
of internet-enabled wireless sensors, an edge computing
layer, a cloud computing layer for syncing edge computing
layer data, and end-user layers. We anticipated the secure
end-to-end authentication sub-layers in our proposed
model for the security and privacy of patients’ data.