A time optimization model for the Internet of Things-based Healthcare system using Fog computing

Abstract

Fog computing is a distributed system that works flawlessly among the cloud and the devices. It enables realtime processing and small latency. It is a distributed decentralized system that is situated between the cloud and computing devices. We are living in the age of the Internet of Things (IoT) or (IoE) Everything that needs immediate processing with minimum latency and wide distribution with location awareness. The characteristics of fog include Mobility, Heterogeneousness, and Wireless Access capability. These factors show a huge part in the development of a real and well-organized IoT platform. As healthcare becomes more patient-centric, it needs a multi-layer architecture to manage the enormoussize of data that is generated by the system. In this paper, we deliberate the importance and applicability of fog and IoT in healthcareby giving a general architecture. In this approach, the system needs a multi-layer architecture that consists of IoT devices, fog, and Cloud computing to manage the complex data with different attributes like its speed, latency, variety, and accuracy.