| dc.description.abstract | Due to uneven geographical population distribution, the presence of network access points, network traffic requests, and transmissions exhibit regional concentration. Therefore, the use of Satellite constellation transmissions will result in regional differences in traffic, leading to congestion in some satellite links or underutilization. With the continuous growth of traffic demand driven by various network services, to ensure better performance in terms of throughput and latency for satellite networks, this study in this thesis proposes a dynamic balancing routing protocol based on the transfer state. This protocol enables neighboring satellites to exchange information about their link queue states and allows sending satellites to evaluate and adaptively distribute data among the links, thereby reducing data packet loss caused by congestion between sending satellites and adjacent satellites. To evaluate the performance of the routing algorithm, this study establishes a simulation environment based on Python, where the performance of different algorithms in satellite node transmissions is examined in an ideal Iridium-like constellation system. According to experimental results, the proposed algorithm outperforms static routing, TLR, and QSDR algorithms in terms of throughput, packet loss rate, and traffic distribution. | en_US |