Abstract
This research proposes a novel framework that uses Doppler measurements from communication signals to forecast the satellite visibility window for two ground stations. Using Dijkstra's algorithm for shortest-path routing, the ground stations may determine the best communication path among the visible satellites by utilizing these observations. The suggested technology significantly increases orbit estimation, which uses Ant Colony Optimization to estimate orbital parameters through Doppler data. The system improves communication dependability through redundancy by creating connections between ground stations and all observable satellites, guaranteeing continuing communications even if individual satellite connections are lost. Furthermore, the visibility windows and computed Doppler measurements have useful applications in real-time settings like Internet of Things (IoT) networks. Consequently, we derive the Doppler measurement probability function and simplify it to a root mean square error (RMSE) minimization problem. The outcomes demonstrate an increase in orbital parameter estimate accuracy when compared to cutting-edge optimization strategies. Furthermore, a reliable routing system is established connecting the two ground stations.