A Novel Approach for a Smart IoMT-Based BAN for an Old Home Healthcare Monitoring System Using Starlink

The rapid evolution of the Internet of Medical Things (IoMT) technology has become a transformative force in modern healthcare, particularly in elderly patient management. The current elderly care system faces significant challenges, including insufficient long-term care resources and poor communication between healthcare providers. To address this limitation, this study introduces a novel Starlink-assisted IOMT-based elderly healthcare model designed to improve remote patient monitoring and communication reliability. This proposal system focused on a monitoring system of key biomedical parameters such as electrocardiogram (ECG), body temperature, heart attack indicators, and a fall detection alert system. Performance is evaluated using the network simulator (NS-3) to assess its effectiveness in remote and underserved regions. Physiological data collected from patients are transmitted through a local communication hub and forwarded over a Low Earth Orbit (LEO) satellite link to a medical center. Based on Quality of Service (QoS) technology that combines Flow Queuing (FQ) with Controlled Delay (CoDel) with Differentiated Services Code Point (DSCP) marking. This approach prioritizes critical health data for faster transmission while allocating lower priority to non-urgent information. This architecture is entirely wireless, allowing continuous monitoring, real-time alerts, and secure data storage for medical analysis. The simulation results demonstrate that the proposed Starlink-enabled IOMT system outperforms existing solutions in terms of throughput, latency, and reliability. The findings highlight Starlink's potential as a robust and high-performance telehealth communication tool. In addition, this study provides a scalable and reproducible framework for future satellite-assisted healthcare systems that prioritize quality of service (QoS) performance and improved elderly patient care.