A Context Aware Framework for IoT Based Healthcare Monitoring Systems
This work addresses the problem of developing context-aware healthcare monitoring systems for IoT users, but it appears incremental as it builds on existing concepts without presenting new experimental results or benchmarks.
The paper tackles the design of healthcare monitoring systems in IoT by proposing a generic framework that models components and their relationships, emphasizing AI's role in resilience and using a distributed layered architecture across physical, fog, and cloud platforms.
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.