Research on Inter-satellite Link Network Routing Algorithm Based on Multi-objective Optimization

Wang, Sixin; Wang, Qi; Yin, Hao; Zhou, Yu Rong

doi:10.1007/978-981-15-3707-3_65

Cited by 3 publications

(2 citation statements)

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“…Liu et al 9 proposed a link assignment algorithm based on competitive decisions and link assignment based on simulated annealing for earth and moon space information networks. Wang et al 10 proposed the fast nondominated sorting genetic algorithm with elite strategy (NSGA-II) to solve the intersatellite link network routing. 2.…”

Section: Introductionmentioning

confidence: 99%

Dynamic optimization of intersatellite link assignment based on reinforcement learning

Ren

Zhu

et al. 2022

International Journal of Distributed Sensor Networks

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Intersatellite links can reduce the dependence of satellite communication systems on ground networks, reduce the number of ground gateways, and reduce the complexity and investment of ground networks, which are important future trends in satellite development. Intersatellite links are dynamic over time, and different intersatellite topologies have a great impact on satellite network performance. To improve the overall performance of satellite networks, a satellite link assignment optimization algorithm based on reinforcement learning is proposed in this article. Different from the swarm intelligence method in principle, this algorithm models the combinatorial optimization problem of links as the optimal sequence decision problem of a series of link selection actions. Realistic constraints such as intersatellite visibility, network connectivity, and number of antenna beams are regarded as fully observable environmental factors. The agent selects the link according to the decision, and the selection action utility affects the next selection decision. After a finite number of iterations, the optimal link assignment scheme with minimum link delay is achieved. The simulation results show that in 8 or 12 satellite network systems, compared with the original topology, the topology calculated by this method has better network delay and smaller delay variance.

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Section: Introductionmentioning

confidence: 99%

Dynamic optimization of intersatellite link assignment based on reinforcement learning

Ren

Zhu

et al. 2022

International Journal of Distributed Sensor Networks

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“…e topology of the network will be determined within a time slot in an orbital hyperperiod, and dynamic network topology is changed periodically. e research on the transmission capacity characteristics of the CFSN is carried out, which is based on the conditions determined by the network topology periodically [19,20].…”

Section: Introductionmentioning

confidence: 99%

Research on Transmission Capacity Characteristics of the Cluster Flight Spacecraft Network

2021

International Journal of Antennas and Propagation

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In order to analyze the transmission capacity performance of the cluster flight spacecraft network, there are two different types of outage performance theory which are derived in this paper. First of all, by applying the mean value theorem of integrals, the expression of the outage probability of decode-and-forward relaying is derived. Subsequently, according to the Macdonald random variable form, the expression of the outage probability of amplify-and-forward is derived. By simulating the transmission capacity of decode-and-forward, the transmission capacity characteristics of a single hop and dual hops are analyzed. The simulation results showed that transmission capacity performance changes with the change of the time slot in the orbital hyperperiod, and the transmission capacity of a dual-hop relay has better performance than a single-hop transmission in the cluster flight spacecraft network.

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Research on satellite link allocation algorithm for Earth-Moon space information network

Ren,

Gao,

Chen

et al. 2024

J Supercomput

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Research on Inter-satellite Link Network Routing Algorithm Based on Multi-objective Optimization

Cited by 3 publications

References 1 publication

Dynamic optimization of intersatellite link assignment based on reinforcement learning

Dynamic optimization of intersatellite link assignment based on reinforcement learning

Research on Transmission Capacity Characteristics of the Cluster Flight Spacecraft Network

Research on satellite link allocation algorithm for Earth-Moon space information network

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