Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking
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 dee...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2025.1522172/full |
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| author | Kejun Sheng Ziyang Xing |
| author_facet | Kejun Sheng Ziyang Xing |
| author_sort | Kejun Sheng |
| collection | DOAJ |
| description | 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 time-sensitive 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. |
| format | Article |
| id | doaj-art-caa76f92afc546dfb5235b6e80063cb1 |
| institution | Kabale University |
| issn | 2296-424X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj-art-caa76f92afc546dfb5235b6e80063cb12025-01-24T05:21:21ZengFrontiers Media S.A.Frontiers in Physics2296-424X2025-01-011310.3389/fphy.2025.15221721522172Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networkingKejun ShengZiyang XingWith 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 time-sensitive 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.https://www.frontiersin.org/articles/10.3389/fphy.2025.1522172/fulldata transmissiondeep space networktime-sensitive networkingimitation learningmixed integer programming problems |
| spellingShingle | Kejun Sheng Ziyang Xing Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking Frontiers in Physics data transmission deep space network time-sensitive networking imitation learning mixed integer programming problems |
| title | Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking |
| title_full | Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking |
| title_fullStr | Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking |
| title_full_unstemmed | Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking |
| title_short | Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking |
| title_sort | research on the integration of mems and reliable transmission of deep space networks based on time sensitive networking |
| topic | data transmission deep space network time-sensitive networking imitation learning mixed integer programming problems |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2025.1522172/full |
| work_keys_str_mv | AT kejunsheng researchontheintegrationofmemsandreliabletransmissionofdeepspacenetworksbasedontimesensitivenetworking AT ziyangxing researchontheintegrationofmemsandreliabletransmissionofdeepspacenetworksbasedontimesensitivenetworking |