<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and complex received data. Based on this, this paper introduces GRU, LSTM, SRU deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy errors of GRU, LSTM, and SRU algorithms show a downward trend, from 0.024 to 0.010%; the training time is reduced by 254 minutes, and the training speed is increased to 86%, indicating the excellent performance of SRU deep learning in IoT gateways.</p>
</abstract>

The Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and complex received data. Based on this, this paper introduces GRU, LSTM, SRU deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy errors of GRU, LSTM, and SRU algorithms show a downward trend, from 0.024 to 0.010%; the training time is reduced by 254 minutes, and the training speed is increased to 86%, indicating the excellent performance of SRU deep learning in IoT gateways.

Research on secure Internet of things gateway technology based on multi-communication methods

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and...

Research on secure Internet of things gateway technology based on multi-communication methods

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 1401 - 1414

Eingereicht: 01. Apr. 2022

Akzeptiert: 15. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00043

Schlüsselwörter
Multiple communication methods, IoT gateway, GRU, LSTM, SRU

© 2023 Ying Fan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on secure Internet of things gateway technology based on multi-communication methods

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 1401 - 1414

Eingereicht: 01. Apr. 2022

Akzeptiert: 15. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00043

SchlüsselwörterMultiple communication methods, IoT gateway, GRU, LSTM, SRU

© 2023 Ying Fan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Multiple communication methods, IoT gateway, GRU, LSTM, SRU