Energy Efficient Maximal Throughput Resource Scheduling Strategy in Satellite Networks
Jiacheng Shuai, Yu Liu, Yumei Wang
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.
Topics & Concepts
Computer scienceScheduling (production processes)Energy consumptionEfficient energy useGreedy algorithmThroughputDistributed computingSatelliteComputer networkCommunications satelliteWirelessMathematical optimizationAlgorithmTelecommunicationsEngineeringMathematicsElectrical engineeringAerospace engineeringSatellite Communication SystemsInterconnection Networks and SystemsOpportunistic and Delay-Tolerant Networks