Remote Sensing GEO Relay Transmission Scheme Based on Mission Awareness Under Dynamic Topology

With low-orbit (LEO) remote sensing being widely used in emergency rescue, atmospheric observation, and military reconnaissance, the types of users and their requirements are increasing. Due to the fact that the communication time between LEO remote sensing satellites and ground stations is only 10–15 minutes each time, which cannot meet the real-time service needs of a large number of users, using geostationary orbit (GEO) relay satellites to relay the transmission has become an effective solution. In practical applications, the payoffs of transmitting tasks of the same size but different levels via relay satellites are different. When multiple LEOs apply for data forwarding services, how to provide the best forwarding rate for tasks of different priorities will directly affect the efficiency of task completion and the revenue of GEOs. Most of the current methods do not consider the impact of topology changes on the policy, and cannot be well applied to satellite networks. To solve the above problems, this paper proposes a GEO relay transmission scheme (GRT-TADT) based on the task awareness under dynamic topology, and a priority-based GEO resource allocation algorithm, which can achieve the optimal allocation of the GEO rate under each time slot according to the task priority to maximize the GEO gain. The experimental results show the effectiveness of the GRT-TADT scheme in terms of the number of tasks completed, GEO resource allocation, and revenue. Compared to the GAA-FARR strategy, the GRT-TADT scheme is 48.2% higher than the GAA-FARR strategy in terms of GEO revenue when transmitting the same amount of data.