Prof. Ning Li Profile

Prof. Ning Li

at Beijing Univ of Posts and Telecommunications

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Publications (2)

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Proceedings Article | 1 June 2021 Paper

Semi-distributed load balancing routing algorithm based on LEO satellite networks

Ning Li, Xiao Hao Zhao, Kun Yao

Proceedings Volume 11848, 118481K (2021) https://doi.org/10.1117/12.2600123

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In Low Earth Orbit (LEO) satellite constellations with inter-satellite links (ISL), the existing load balancing routing algorithms have two disadvantages: (1) Lack of consideration of link information and respond poorly to congestion situations in routing strategies. (2) In the implementation of routing algorithm, the global schemes have poor timeliness and large communication and storage overhead, while routing decisions in local schemes occasionally cannot guarantee global optimality. This study proposes a priority forwarding strategy based on congestion notification and link state(CLPFS) and a semi-distributed load balancing routing (SDLBR) algorithm. CLPFS designs priority metrics based on the dual criteria of link information of current satellite and congestion notification information brought by neighboring satellites. The strategy can more accurately select the relatively light-load forwarding direction and respond quickly to congestion. SDLBR algorithm expands the new routing strategy and adds a semi-distributed forwarding mechanism. The satellite makes routing decisions based on the real-time status of the satellites within the range of two-hop neighbors. Simulation results show the algorithm we proposed is better than the Datagram Routing Algorithm(DRA) and Traffic-Light-Based Intelligent Routing Strategy (TLR) in terms of packet loss rate, throughput and end-to-end delay.

Proceedings Article | 1 June 2021 Paper

TCP-BQLP: congestion control algorithm based on buffer queue length prediction in LEO satellite network

Ning Li, Jianchang Qin, Qiaodi Zhu

Proceedings Volume 11848, 118481I (2021) https://doi.org/10.1117/12.2600105

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Due to the dynamic changes of the LEO satellite link and the link packet loss rate, the current congestion control algorithm used in the LEO satellite network is difficult to accurately determine the network packet loss and network congestion, resulting in low network transmission efficiency. This paper proposes a congestion control algorithm (TCP-BQLP) based on the prediction of the bottleneck link buffer queue length. TCP-BQLP estimates the available bandwidth of the bottleneck link, uses the ARIMA model to predict the length of the routing queue of the bottleneck link, and finally combines the beta cumulative function to design a new congestion control curve, which can effectively control congestion in a highly dynamic network and improve network throughput. The simulation results show that TCP-BQLP is superior to NewReno and Vegas in terms of throughput.

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