Abstract
To tackle the network congestion problem caused by ground gateway stations arranged within a limited area in low earth orbit (LEO) satellite networks, a routing algorithm based on segment routing for traffic return is proposed. Light and heavy load zones are dynamically divided according to the relative position relationship between gateways and the reverse slot. The pre-balancing shortest path algorithm is used in the light load zone, and the minimum weight path defined by congestion index is the routing rule in the heavy load zone. Then, the consistent forwarding is performed referring to segment routing in all zones. Simulation conditions are different sizes of heavy load zone, different traffic density distributions, and different traffic demands. Simulation results confirm that the load-balancing performance is improved significantly with the extension of the heavy load zone size in terms of the average rejection ratio, the average relative throughput, the maximum link utilization, and the average delay. The proposed algorithm is an alternative solution and guidance for routing strategy in LEO satellite networks.
Highlights
Low earth orbit (LEO) satellite networks, represented by Iridium [1] and Starlink [2], are designed to supply global coverage and real-time services, and contribute to the development of space-ground integrated communication systems [3]
The load-balancing routing algorithm based on segment routing is proposed for LEO satellite networks
The network congestion caused by gateways arranged within a limited area is improved
Summary
Low earth orbit (LEO) satellite networks, represented by Iridium [1] and Starlink [2], are designed to supply global coverage and real-time services, and contribute to the development of space-ground integrated communication systems [3]. The load-balancing routing algorithm based on segment routing (SR) is proposed for the LSN traffic return under the centralized distribution of gateways. A SR end-to-end routing algorithm in SDN uses betweenness centrality and congestion index to define the link weight, and obtains the forwarding path which improve network throughput [16]. Another SR routing algorithm in SDN combines the multiple objective particle swarm optimization algorithm and builds a three-layer evaluation model of key performance evaluation index, business scheme, and evaluation results [17]. Communication channels are considered ideal channels, regardless of attenuation, multipath, and so on, and mobility management is simplified as an ideal way without abnormal addressing
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