Fog Computing: Applications in Smart Healthcare
Yajnaseni Dash, Pooja Jajoria
Abstract
Internet of Things (IoT) applications in healthcare are revolutionizing conventional medical procedures through the integration of networked devices that gather real-time patient healthcare data. By relocating computational resources towards the network edge, fog computing provides an architectural basis that fortifies IoT technologies as there is minimal waiting for responses, less latency, and no bandwidth problems brought on by sending massive volumes of data to far-off cloud servers. The primary application domains where fog computing is transforming smart healthcare are highlighted in this study. The incorporation of fog computing for enabling real-time analysis and processing of information generated by IoT devices is an important milestone in this area of study. This paper investigates the concept of fog computing-based smart healthcare IoT applications, including its architecture, different application domains, and challenges that need to be addressed before it can be implemented. Improved patient outcomes, faster treatments, economic improvements and better decision-making processes are just a few advantages of fog computing. The healthcare industry can develop ground-breaking solutions that improve patient care and modernize healthcare practices by leveraging the capabilities of fog computing at the network edge. This article addresses how fog computing could impact intelligent health-related IoT applications by outlining its architecture, exploring several healthcare-related application domains, and assessing utilization challenges.