A Multi-QoS Optimization Routing for LEO/MEO Satellite IP Networks

Mao, Tengyue; Zhou, Bin; Wang, Chao

doi:10.4304/jmm.9.4.576-582

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Some other researchers are concerned about the poor QoS caused by long distance between nodes and unstable links. Mao et al [27] proposed a routing strategy separating the collection and calculation of QoS. Huang et al [28] proposed a routing strategy under guaranteed delay constraints.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Routing Strategy Based on Improved Double Q-Learning for Satellite Internet of Things

Zhou

Gong

Sun

et al. 2021

Security and Communication Networks

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Satellite Internet of Things (S-IoT), which integrates satellite networks with IoT, is a new mobile Internet to provide services for social networks. However, affected by the dynamic changes of topology structure and node status, the efficient and secure forwarding of data packets in S-IoT is challenging. In view of the abovementioned problem, this paper proposes an adaptive routing strategy based on improved double Q-learning for S-IoT. First, the whole S-IoT is regarded as a reinforcement learning environment, and satellite nodes and ground nodes in S-IoT are both regarded as intelligent agents. Each node in the S-IoT maintains two Q tables, which are used for selecting the forwarding node and for evaluating the forwarding value, respectively. In addition, the next hop node of data packets is determined depending on the mixed Q value. Second, in order to optimize the Q value, this paper makes improvements on the mixed Q value, the reward value, and the discount factor, respectively, based on the congestion degree, the hop count, and the node status. Finally, we perform extensive simulations to evaluate the performance of this adaptive routing strategy in terms of delivery rate, average delay, and overhead ratio. Evaluation results demonstrate that the proposed strategy can achieve more efficient and secure routing in the highly dynamic environment compared with the state-of-the-art strategies.

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Section: Related Workmentioning

confidence: 99%

Adaptive Routing Strategy Based on Improved Double Q-Learning for Satellite Internet of Things

Zhou

Gong

Sun

et al. 2021

Security and Communication Networks

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“…Link QoS will affect the data interchange in the inter-satellite link deeply. To meet the requirements, the satellite network needs effective QoS guarantee [6].…”

Section: Introductionmentioning

confidence: 99%

Routing Optimization Based on OSPF in Multi-Layer Satellite Network

Guo

Yang

et al. 2021

Frontiers in Artificial Intelligence and Applications

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Multi-layer satellite network has become a hot spot for its wider coverage and higher bandwidth level. However, due to the frequent link changes and complexity of network, it is hard to find out a mechanism to handle well on long delay and high packet loss level. This paper proposes an optimized OSPF protocol called OOWLP to eliminate unnecessary routing convergence to optimize the packet loss level and delay ultimately. Link plan table, which records link contacting plan, will be used to update the link state database periodically so that we can eliminate the flooding procedure caused by scheduled link changes. On the other hand, Constrained Shortest Path First (CSPF) will be used to get business differentiated routes in multi-layer satellite network to optimized the throughput capacity in congestion scenario. We divide the sending packets into different businesses and get the routes for each business with longer duration limited by remaining bandwidth. Simulation results show that in normal scenario, average packet loss rate and delay performance are improved 17.42%, 51.44ms respectively, average packet loss rate and throughput capacity performance are optimized 79.05%, 9.81Mbps respectively in congestion scenario compared to standard OSPF. As a result, the proposed mechanism is able to shorten the average delay and lower the packet loss level in multi-layer satellite network.

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“…There are some outstanding works [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] which are some fruitful outcomes.…”

Section: Introductionmentioning

confidence: 99%

A QoS guarantee service serving model in LEO satellite networks based on differential game

Liu

Zhao²,

Lin

2014

China Commun.

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Low Earth Orbit (LEO) satellites networks can provide multimedia service and plays an increasing1y important role in the exploitation of space. However, one of the challenges in LEO satellites networks is that the services are suffered from high symbol error, limited storage space and limited available energy. To analyze the performance of the service in LEO satellites networks, a model, based on differential game, is proposed for satisfying the QoS requirements of multimedia applications. The controller of our model is the transmitting rate and the object is to maximize the payoff depending on the error symbol rate, the available energy, the bandwidth and the process ability so as to guarantee the QoS service.In order to solve our built model, we use the Bellman theorem to make formulas on the trance of the optimal transmitting rate. Furthermore, simulation results verify that the service can be maximized by using our derived transmitting rate trance.

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A Multi-QoS Optimization Routing for LEO/MEO Satellite IP Networks

Cited by 6 publications

References 12 publications

Adaptive Routing Strategy Based on Improved Double Q-Learning for Satellite Internet of Things

Adaptive Routing Strategy Based on Improved Double Q-Learning for Satellite Internet of Things

Routing Optimization Based on OSPF in Multi-Layer Satellite Network

A QoS guarantee service serving model in LEO satellite networks based on differential game

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