MOLM: Alleviating Congestion through Multi-Objective Simulated Annealing-Based Load Balancing Routing in LEO Satellite Networks

Yihu Zhou, Haiming Chen () and Zhibin Dou
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Yihu Zhou: Department of Computer Science, Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
Haiming Chen: Department of Computer Science, Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
Zhibin Dou: The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China

Future Internet, 2024, vol. 16, issue 4, 1-16

Abstract: In satellite networks, existing congestion resolution methods do not consider the predictability and stability of paths, leading to frequent path switches and high maintenance costs. In this regard, we propose a novel congestion resolution approach, named MOLM, which introduces a continuous neighbor set during path updates. This set includes nodes capable of establishing sustainable connections with the predecessors and successors of congested nodes. Combined with a multi-objective simulated annealing framework, MOLM iteratively derives an optimal selection from this set to replace congested nodes. Additionally, we employ a Fast Reroute mechanism based on backup paths (FRR-BP) to address node failures. The simulation results indicate that the optimal node endows the new path with optimal path stability and path latency.

Keywords: satellite internet; routing algorithm; path stability; latency; simulation experiments (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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