Modeling and optimization of spatial information network based on hybrid connection strategy

Zhongmin Pei; Meng Liu; Zhangkai Luo

doi:10.1117/12.2638937

17 May 2022 Modeling and optimization of spatial information network based on hybrid connection strategy

Zhongmin Pei, Meng Liu, Zhangkai Luo

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122594K (2022) https://doi.org/10.1117/12.2638937
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

The space information network has become a new generation of national common information infrastructure. It is a hot topic in the academic field to study the optimization method of multi-layer network structure and ensure that the network has high connectivity and the efficiency of information transmission. Aiming to improve the network connectivity and latency performance of spatial information networks, a multi-layer information network optimization method based on the hybrid connection strategy is proposed in this paper, in which we combine the characteristics of different layers of spatial information networks. By improving the target connection strategy, the hybrid connection strategy selects nodes according to the characteristics of different sub networks. Simulation results demonstrate that the network connectivity using this strategy is better than the same-matched, hetero-matched and random connection strategies. With the increase of the number of edges. And the average delay of the whole network optimized by this strategy is also significantly lower than the other three strategies when the number of edges increases.

Citation Download Citation

Zhongmin Pei, Meng Liu, and Zhangkai Luo "Modeling and optimization of spatial information network based on hybrid connection strategy", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122594K (17 May 2022); https://doi.org/10.1117/12.2638937

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