A Context Aware Framework for IoT Based Healthcare Monitoring Systems

TL;DR

This paper proposes a layered, context-aware framework for IoT-based healthcare monitoring systems, emphasizing AI's role in enhancing resilience and integrating components across physical, fog, and cloud layers.

Contribution

It introduces a generic, layered architecture model for designing resilient, context-aware healthcare monitoring systems within IoT platforms.

Findings

Identified and modeled key components of healthcare IoT systems.

Proposed a distributed layered architecture integrating physical, fog, and cloud layers.

Highlighted the importance of AI in improving system resilience.

Abstract

This paper introduces an investigation of the healthcare monitoring systems and their provisioning in the IoT platform. The different roles that exist in healthcare systems are specified and modeled here. This paper also attempts to introduce and propose a generic framework for the design and development of context aware healthcare monitoring systems in the IoT platform. In such a framework, the fundamental components of the healthcare monitoring systems are identified and modelled as well as the relationship between these components. The paper also stresses on the crucial role played by the AI field in addressing resilient context aware healthcare monitoring systems. Architecturally, this framework is based on a distributed layered architecture where the different components are deployed over the physical layer, fog platform and the cloud platform.