QoS prediction using EMD-BiLSTM for II-IoT-secure communication systems
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| Název: | QoS prediction using EMD-BiLSTM for II-IoT-secure communication systems |
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| Autoři: | Zeng Yun, Li Xiang |
| Zdroj: | Journal of Intelligent Systems, Vol 33, Iss 1, Pp 648-57 (2024) |
| Informace o vydavateli: | De Gruyter, 2024. |
| Rok vydání: | 2024 |
| Sbírka: | LCC:Science LCC:Electronic computers. Computer science |
| Témata: | industrial intelligent internet of things, secure communication, emd, bilstm, qos prediction, Science, Electronic computers. Computer science, QA75.5-76.95 |
| Popis: | To address the challenges of secure and reliable communication and system quality of service (QoS) prediction in intelligent production lines (IPL) in the Industrial Intelligent Internet of Things (II-IOT) environment, a redundant collaborative security model-based communication architecture is designed. First, the redundant collaborative security communication model is introduced to construct the network communication architecture of IPL, including the industrial-site mechanical floor, data awareness layer, and gateway and application layer. Then, to leverage the advantages of the empirical-mode decomposition (EMD) method and the bidirectional long short-term memory (BiLSTM) model in time-series data analysis and processing, an EMD-BiLSTM-based QoS prediction model is proposed that can synchronously achieve one-step and multi-step prediction of QoS attributes. The proposed model exhibits a prediction accuracy of up to 94.01% on the SourceForge dataset, with prediction, recall, and F1 values as high as 91.37, 90.60, and 90.99%, respectively. The proposed EMD-BiLSTM model can achieve better performance than the state-of-the-art QoS prediction models, indicating that the proposed model can be more effectively used to improve the reliable communication level of II-IoT. |
| Druh dokumentu: | article |
| Popis souboru: | electronic resource |
| Jazyk: | English |
| ISSN: | 2191-026X |
| Relation: | https://doaj.org/toc/2191-026X |
| DOI: | 10.1515/jisys-2023-0030 |
| Přístupová URL adresa: | https://doaj.org/article/70221a02af6d4a2cbf0c773dbb010f99 |
| Přístupové číslo: | edsdoj.70221a02af6d4a2cbf0c773dbb010f99 |
| Databáze: | Directory of Open Access Journals |
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Nájsť tento článok vo Web of Science | Abstrakt: | To address the challenges of secure and reliable communication and system quality of service (QoS) prediction in intelligent production lines (IPL) in the Industrial Intelligent Internet of Things (II-IOT) environment, a redundant collaborative security model-based communication architecture is designed. First, the redundant collaborative security communication model is introduced to construct the network communication architecture of IPL, including the industrial-site mechanical floor, data awareness layer, and gateway and application layer. Then, to leverage the advantages of the empirical-mode decomposition (EMD) method and the bidirectional long short-term memory (BiLSTM) model in time-series data analysis and processing, an EMD-BiLSTM-based QoS prediction model is proposed that can synchronously achieve one-step and multi-step prediction of QoS attributes. The proposed model exhibits a prediction accuracy of up to 94.01% on the SourceForge dataset, with prediction, recall, and F1 values as high as 91.37, 90.60, and 90.99%, respectively. The proposed EMD-BiLSTM model can achieve better performance than the state-of-the-art QoS prediction models, indicating that the proposed model can be more effectively used to improve the reliable communication level of II-IoT. |
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| ISSN: | 2191026X |
| DOI: | 10.1515/jisys-2023-0030 |