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Hardware-Based Satellite Network Broadcast Storm Suppression Method

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Abstract

Satellite networks provide high-bandwidth, wide-coverage network services that complement ground networks.However, multitudinous loop links in satellite networks can lead to broadcast storms, where broadcast packets continuously propagate along the loops in the network, ultimately resulting in network paralysis. Existing solutions, such as Minimum Spanning Tree (MST) algorithm, often result in low bandwidth utilization and higher forwarding latency. This paper introduces a novel hardware-based approach to mitigate these challenges by selectively suppressing redundant broadcasts. Unlike traditional methods, our approach utilizes a RAM-based lookup table to record the characteristics and timestamps of broadcast packets, then determines whether the packets should be discarded or forwarded based on these records.In the experiment, the proposed approach achieves a frequency of 251.8 MHz and an on-chip power of 0.106W on the Field-Programmable Gate Array (FPGA) chip.

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Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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Author notes

  1. Keran Zhang contributed equally to this work.

Authors and Affiliations

  1. Software engineering department, School of Information and Technology, Xuefu Street, Xi’an, 710127, Shaanxi, China

    Wenjun Huang, Hangzai Luo & Sheng Zhong

  2. Xi’an Microelectronics Technology Institute, Taibainan Road, Xi’an, 710000, Shaanxi, China

    Keran Zhang & Sheng Zhong

Authors
  1. Wenjun Huang
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  2. Keran Zhang
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  3. Hangzai Luo
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  4. Sheng Zhong
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Contributions

W.H and K.Z wrote the main manuscript text. W.H prepared all the figures and table.H.l and S.Z provided funding for the research. All authors reviewed the manuscript.

Corresponding author

Correspondence to Hangzai Luo.

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The authors declare no competing interests.

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Huang, W., Zhang, K., Luo, H. et al. Hardware-Based Satellite Network Broadcast Storm Suppression Method. Mobile Netw Appl 28, 2288–2299 (2023). https://doi.org/10.1007/s11036-024-02351-7

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