Impulse Generation and Motion Tracking of Rocket Bodies Using Wearable Sensors in 5G/6G Networks

Abstract

Wearable sensor technologies and wireless networks, particularly in 5G and 6G networks, have transformed data transport and real-time monitoring in many industries. In this work, we present a unique method to improve impulse generation analysis and motion detection using wearable sensors inside a wireless network. Low-latency 5G/6G communication architectures and sophisticated sensor nodes are used in the proposed system to continually monitor dynamic parameters and send important motion data with the lowest delay. Inspired by propulsion-based motion studies, we investigate impulse generation with a modified sugar-based composite propellant comprising potassium nitrate (KNO₃), powdered sugar (C₁₂H₂₁), and potassium sulfide (K₂S). These propellants experience combustion, making reaction by-products (N₂ + 3CO₂). This compound sets the foundation for motion detection analysis, which is used in many controlled propulsion experiments. By enabling real-time impulse measuring and motion tracking, wearable wireless sensors help with data gathering, predictive modeling, and decision-making. We evaluate the dependability and efficiency of the system by comparing it with current motion detection and wireless communication architectures. Experimental results show that the suggested data processing and prediction approach significantly improves impulse detection and motion tracking. The results help to forward wearable sensor-based wireless networks for aerospace, industrial automation, and biomedical applications in next-generation 5G/6G networks.