Energy Efficient Maximal Throughput Resource Scheduling Strategy in Satellite Networks

Abstract

In this letter, a greedy routing strategy is proposed for resource scheduling in Earth observation mission to achieve the maximum throughput and improve the energy efficiency. Resource time-expanded graph (RTEG) is introduced to depict the time-evolving topology and resources of satellite networks. Based on RTEG, an energy efficient resource allocation algorithm (EERA) is designed to reduce the total energy consumption and maximize the throughput in data transmission by properly scheduling the transceiver resource, storage resource and power resource of satellites. Simulation results show that EERA achieves preferred energy efficiency when reaching the maximum throughput.

An energy consumption minimization resource allocation strategy in satellite‐terrestrial communication networks

“…Other system parameters employed in the simulation, are summarized in Table 2. To evaluate the performance of our proposed scheme, we compare it with other schemes proposed in [10].…”

“…2. To evaluate the performance of our proposed scheme, we compare it with other schemes proposed in [10]. Figure 3 illustrates the correlation between transmit power and system energy consumption concerning variations in transmission data.…”