Research on data transmission system based on expert library reinforcement learning in integrated network

With the continuous advancement of network transmission technology, more and more applications are being applied in wireless network environments, especially in places that require high coverage, such as oceans and mountainous areas. However, wireless data transmission has the disadvantages of unstable transmission and easy interruption using traditional methods. Based on this, we propose a data transmission system that uses a micro-electron-mechanical system (MEMS) sensor to obtain the wireless network status and applies expert library reinforcement learning that does not rely on reward functions to achieve retrieval enhancement of data transmission. Experimental verification shows that the proposed expert library reinforcement learning has strong generalizability and fast convergence. Expert library reinforcement learning, wireless network, MEMS, integrated network.

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Publication Details

Journal
PLoS ONE
Published
2025-11-25
DOI
https://doi.org/10.1371/journal.pone.0333372
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on data transmission system based on expert library reinforcement learning in integrated network

Ziyang Xing
PLoS ONE
Reinforcement Learning in Robotics
article

Research on data transmission system based on expert library reinforcement learning in integrated network

Ziyang Xing
article en

Abstract

With the continuous advancement of network transmission technology, more and more applications are being applied in wireless network environments, especially in places that require high coverage, such as oceans and mountainous areas. However, wireless data transmission has the disadvantages of unstable transmission and easy interruption using traditional methods. Based on this, we propose a data transmission system that uses a micro-electron-mechanical system (MEMS) sensor to obtain the wireless network status and applies expert library reinforcement learning that does not rely on reward functions to achieve retrieval enhancement of data transmission. Experimental verification shows that the proposed expert library reinforcement learning has strong generalizability and fast convergence. Expert library reinforcement learning, wireless network, MEMS, integrated network.

PLoS ONEVol. 20(11)
Donghua University (CN)
Openalex Percentile: Top 81%
Reinforcement Learning in Robotics
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