The final, formatted version of the article will be published soon.
BRIEF RESEARCH REPORT article
Front. Phys.
Sec. Interdisciplinary Physics
Volume 13 - 2025 |
doi: 10.3389/fphy.2025.1522172
This article is part of the Research Topic Nonlinear Vibration and Instability in Nano/Micro Devices: Principles and Control Strategies View all 8 articles
Research on the Integration of MEMS and Reliable Transmission of Deep Space Networks Based on Time-Sensitive Networking
Provisionally accepted- Shandong Vocational University of Foreign Affairs, Weihai, Shandong Province, China
With the continuous deepening of human space exploration, deep space networks far away from Earth have emerged. Unlike traditional ground networks, they have the characteristics of frequent link interruptions and time extensions. Traditional data transmission mechanisms cannot be well applied in deep space networks. We propose a data transmission technology that integrates timesensitive networking and artificial intelligence to address the contradiction between deterministic delay and differentiated service quality assurance in deep space networks and construct a micro electromechanical system (MEMS). Considering the differences in service quality due to different business requirements, data transmission in deep space networks is transformed into a mixed integer programming problem that minimizes transmission delay and maximizes link utilization and solved using artificial intelligence imitation learning. Experimental results have shown that the proposed algorithm has fast convergence, strong applicability, and can achieve reliable and efficient data transmission while meeting the requirements of higher priority data transmission. It can also significantly improve throughput.
Keywords: Data transmission, Deep space network, Time-sensitive networking, Imitation learning, Mixed integer programming problems
Received: 04 Nov 2024; Accepted: 02 Jan 2025.
Copyright: © 2025 Sheng and Xing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Chilong Xing, Shandong Vocational University of Foreign Affairs, Weihai, Shandong Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.