Modeling and Reconstruction of Transport Times for Real-Time Telemetry Systems with SBC and RT-Linux

Abstract

This manuscript presents a model for reconstructing the temporal dynamics of a real-time telemetry system, where the reception time ?Rx,k and the transmission time ?Tx,k constitute the transport time ?k , enabling system sizing and optimization. The study is based on a testbed [9] updated with single-board computers and a real-time operating system, designed to obtain precise measurements. Temporal constraints in real-time telemetry are analyzed, and the Kalman filter algorithm is used to reconstruct its behavior. This work argues that telemetry process times in an internet-based client-server scheme are affected by various factors (infrastructure, network topology, time of day, electromagnetic interference, protocols, etc.), causing variability that impacts temporal constraints and system performance. In conclusion, proper system sizing is ensured to optimize real-time communication and guarantee its optimal operation.