Context-Aware Middleware Architecture for IoT-Based Smart Healthcare Applications

Abstract

In recent years, Internet of things (IoT) has become an intelligent computer model in which various things and resources are connected to a range of intelligent solutions such as Bluetooth and Wi-Fi, ZigBee, and GSM. These communication technologies offer connectivity between different IoT devices that can help control and operate devices with the user interface. The development and implementation of these applications are ideas for the next era: IoT has enabled the user to define and design a large number of middlewares to connect the IoT application levels, and one of them is a contextual middleware. Contextual applications are more adaptable to their dynamic changes in the environment, with behavior that attracts more attention from users. Contextual applications are in fact three principles of context-awareness, modeling, and reasoning. The existing approaches are technically focused on the style of architecture, abstraction, the expandability of reasoning, fault tolerance, the identification of services, privacy, security, archiving, the level of awareness of the context, and Big Data analysis. In this article, we focus on improving the security and privacy of middleware and data visualization with cloud-based Big Data analysis. At the end of the document, we discussed the challenges of open research at work.