Energy‐Efficient Fog‐Assisted System for Monitoring Diabetic Patients with Cardiovascular Disease
Rishita Khurana, Manika Choudhary, Akansha Singh, Krishna Kant Singh · 2023
The Internet of Things (IoT) is a nascent technological advancement aimed at establishing connectivity between a wide array of devices and sensors, encompassing wearable sensors, medical care sensors, cameras, home appliances, and smartphones, through the utilization of the Internet. The interconnectivity of this network results in the generation of substantial volumes of data, thereby requiring the presence of effective storage and processing capabilities. Fog computing has been identified as a viable solution to tackle this particular challenge. Nevertheless, specific use cases, particularly within the healthcare industry, necessitate the processing of data in real-time to optimize performance while simultaneously minimizing latency and delay. Within the domain of healthcare, fog computing presents a viable and effective approach for enhancing the provision of superior facilities. This study presents a novel framework that utilizes fog computing to facilitate remote health monitoring. The framework is specifically designed to monitor blood glucose levels in patients diagnosed with diabetes and cardiovascular disease. The framework additionally underscores the significance of constraining energy consumption. The experimental findings provide evidence that the proposed framework demonstrates effective management of network delay and efficient utilization of energy resources. In general, the Internet of Things (IoT) endeavors to establish connectivity between a diverse array of devices and sensors with the internet. Fog computing, as a novel approach, addresses the challenge of managing the substantial volumes of data that are produced. A framework based on fog computing has been developed in the healthcare domain to facilitate the remote monitoring of patients’ blood glucose levels. This framework aims to optimize energy consumption and enhance network performance for improved efficiency.