VitalSense+: A Mobility-based Multi-Sink Approach for Prioritized Vital Monitoring in Military Operations
G Anurag, Aditya Poddar, Animesh Giri · 2023
Military personnel are the backbone of defence organizations, tasked with safeguarding national security and executing critical missions in challenging and dangerous environments. In modern-day military operations, ensuring the well-being and safety of military personnel is paramount. The physical well-being of these personnel plays a major role in the mission's success and operational effectiveness. Military operations often expose personnel to unpredictable and hazardous conditions such as extreme temperatures, high altitudes, and combat situations where they can be injured because of various reasons. These factors can severely impact these personnel and may cause life-threatening situations. Current healthcare monitoring approaches have limitations in military settings due to a lack of real-time and remote monitoring capabilities. Standard hospital-based systems are not viable in the field, where rapid response and im-mediate medical attention are critical. This is where the Internet of Things (loT) can emerge as a game changer to address these challenges in military vital monitoring. loT devices, equipped with advanced sensors, seamlessly integrate into military gear and uniforms, allowing for real-time monitoring of multiple vitals. loT will neither interfere with the personnel's mobility nor the execution of the mission; rather, it will give an upper hand for the safety and security of the personnel. The purpose of this study is to investigate the critical function of the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) in improving the efficiency and reliability of networked loT devices. The study's aim is to develop a varied network with a variety of priority metrics and employ a multi-sink architecture to considerably lower total power consumption while maintaining high standards in crucial metrics like as PDR and latency. It demonstrates how this technique optimises network functioning by managing several data priorities, resulting in an energy-efficient and robust system that does not compromise critical performance standards.