Routing planning and handoff based on LSTM traffic prediction

Bin ZHUGE; Linchao WANG; Yang SONG; Yu SHAO; Ligang DONG; Xian JIANG

doi:10.11959/j.issn.1000-0801.2022172

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Routing planning and handoff based on LSTM traffic prediction

Research and Development | 更新时间：2024-06-05

- Routing planning and handoff based on LSTM traffic prediction
- Telecommunications Science Vol. 38, Issue 8, Pages: 86-100(2022)
- 作者机构：
- 作者简介：
- 基金信息：
  
  Zhejiang Key Laboratory of New Network Standards and Application Technology(2013E10012)
- DOI：10.11959/j.issn.1000-0801.2022172
  CLC： TP393
- Published Online：2022-08，
  
  Published：20 August 2022
- 稿件说明：
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Bin ZHUGE, Linchao WANG, Yang SONG, et al. Routing planning and handoff based on LSTM traffic prediction[J]. Telecommunications science, 2022, 38(8): 86-100.
DOI：

Bin ZHUGE, Linchao WANG, Yang SONG, et al. Routing planning and handoff based on LSTM traffic prediction[J]. Telecommunications science, 2022, 38(8): 86-100. DOI： 10.11959/j.issn.1000-0801.2022172.

摘要

摘要：随着近年网络技术的不断发展和演进，用户对网络资源的需求体量越来越大，内容越来越复杂，传统的网络架构很难满足当前灵活的网络需求。软件定义网络的革命性技术思想赋予了网络可编程性和可演进性，实现网络资源更灵活的管理。为了提高网络资源利用率，提出了基于LSTM模型的流量预测，为路由规划提供理论依据。通过提前预测网络流量，在流量激增之前进行防御措施保证网络的安全性和稳定性。实现基于流量预测的路由规划、无损路径切换等功能。

Abstract

With the continuous development and evolution of network technology in recent years

the user’s demand for network resources is becoming larger and larger

and the content is becoming more and more complex.The traditional network architecture is difficult to meet the current flexible network needs.The revolutionary technology of SDN endows the network with programm ability and evolvability

and realizes more flexible management of network resources.In order to improve the utilization of network resources

a traffic prediction agent based on LSTM model was proposed

which provides a theoretical basis for routing planning.By predicting the network traffic in advance

we can take defensive measures before the traffic surge to ensure the security and stability of the network.The function of route planning and lossless path switching based on traffic prediction was realized.

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references

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