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.

A wireless sensor network comprises of sensors having independent wireless communication with the capacity to detect their encompassing conditions and a capacity to interface with the Web through a base station. Much of the time, sensors are spatially dispersed and, subsequently, must have a minimal cost; for this reason, they have constrained batteries, computational capacity, and memory size. Sensors' limited capacity to actualize common safety measures makes them powerless against different kinds of assaults. Additionally, their applications are sensitive to postpone or packets defilement, e.g., woods fire detection, disaster alleviation activities, and bunches of different applications. Consequently, improving security is mandatory.