Routing planning and handoff based on LSTM traffic prediction
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.T...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2022-08-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022172/ |
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| _version_ | 1841530653130096640 |
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| author | Bin ZHUGE Linchao WANG Yang SONG Yu SHAO Ligang DONG Xian JIANG |
| author_facet | Bin ZHUGE Linchao WANG Yang SONG Yu SHAO Ligang DONG Xian JIANG |
| author_sort | Bin ZHUGE |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2f8208fc81d1472bb659e0dfac3eea65 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2022-08-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-2f8208fc81d1472bb659e0dfac3eea652025-01-15T03:00:17ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012022-08-01388610059578218Routing planning and handoff based on LSTM traffic predictionBin ZHUGELinchao WANGYang SONGYu SHAOLigang DONGXian JIANGWith 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022172/software defined networktraffic predictionrouting planningpaths witchingLSTM model |
| spellingShingle | Bin ZHUGE Linchao WANG Yang SONG Yu SHAO Ligang DONG Xian JIANG Routing planning and handoff based on LSTM traffic prediction Dianxin kexue software defined network traffic prediction routing planning paths witching LSTM model |
| title | Routing planning and handoff based on LSTM traffic prediction |
| title_full | Routing planning and handoff based on LSTM traffic prediction |
| title_fullStr | Routing planning and handoff based on LSTM traffic prediction |
| title_full_unstemmed | Routing planning and handoff based on LSTM traffic prediction |
| title_short | Routing planning and handoff based on LSTM traffic prediction |
| title_sort | routing planning and handoff based on lstm traffic prediction |
| topic | software defined network traffic prediction routing planning paths witching LSTM model |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022172/ |
| work_keys_str_mv | AT binzhuge routingplanningandhandoffbasedonlstmtrafficprediction AT linchaowang routingplanningandhandoffbasedonlstmtrafficprediction AT yangsong routingplanningandhandoffbasedonlstmtrafficprediction AT yushao routingplanningandhandoffbasedonlstmtrafficprediction AT ligangdong routingplanningandhandoffbasedonlstmtrafficprediction AT xianjiang routingplanningandhandoffbasedonlstmtrafficprediction |