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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.
Ning Li,Xiao Hao Zhao, andKun Yao
"Semi-distributed load balancing routing algorithm based on LEO satellite networks", Proc. SPIE 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021), 118481K (1 June 2021); https://doi.org/10.1117/12.2600123
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Ning Li, Xiao Hao Zhao, Kun Yao, "Semi-distributed load balancing routing algorithm based on LEO satellite networks," Proc. SPIE 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021), 118481K (1 June 2021); https://doi.org/10.1117/12.2600123