Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models
In underwater clustering and benchmark networks, nodes need to reduce the rate and energy consumption of acoustic communication while ensuring synchronization accuracy. In large-scale networks, the improvement in the efficiency of existing network time synchronization often relies on the optimizatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/12/11/2079 |
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| author | Yujie Ouyang Yunfeng Han Zeyu Wang Yifei He |
| author_facet | Yujie Ouyang Yunfeng Han Zeyu Wang Yifei He |
| author_sort | Yujie Ouyang |
| collection | DOAJ |
| description | In underwater clustering and benchmark networks, nodes need to reduce the rate and energy consumption of acoustic communication while ensuring synchronization accuracy. In large-scale networks, the improvement in the efficiency of existing network time synchronization often relies on the optimization of topological structures, and the improvement in efficiency within local areas is limited. This paper proposes a method to synchronize underwater time using the probability graph model. The method utilizes the positional and motion status information of sensor networks to construct a factor graph model for distributed network synchronization. By simplifying the marginal probability density function of the system clock difference, it can quickly calculate the clock difference parameters of nodes, thereby effectively improve the synchronization efficiency. The experimental results show that the method can complete global time synchronization within a cycle while achieving a clock difference correction accuracy higher than seconds, which significantly optimized the synchronization cycle and efficiency, and reduced the energy consumption of the acoustic communication. |
| format | Article |
| id | doaj-art-d09e70a062ed49029b1839b226919b80 |
| institution | OA Journals |
| issn | 2077-1312 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-d09e70a062ed49029b1839b226919b802025-08-20T01:54:02ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-11-011211207910.3390/jmse12112079Underwater Network Time Synchronization Method Based on Probabilistic Graphical ModelsYujie Ouyang0Yunfeng Han1Zeyu Wang2Yifei He3National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, ChinaNational Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, ChinaNational Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, ChinaNational Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, ChinaIn underwater clustering and benchmark networks, nodes need to reduce the rate and energy consumption of acoustic communication while ensuring synchronization accuracy. In large-scale networks, the improvement in the efficiency of existing network time synchronization often relies on the optimization of topological structures, and the improvement in efficiency within local areas is limited. This paper proposes a method to synchronize underwater time using the probability graph model. The method utilizes the positional and motion status information of sensor networks to construct a factor graph model for distributed network synchronization. By simplifying the marginal probability density function of the system clock difference, it can quickly calculate the clock difference parameters of nodes, thereby effectively improve the synchronization efficiency. The experimental results show that the method can complete global time synchronization within a cycle while achieving a clock difference correction accuracy higher than seconds, which significantly optimized the synchronization cycle and efficiency, and reduced the energy consumption of the acoustic communication.https://www.mdpi.com/2077-1312/12/11/2079underwater network time synchronizationfactor graph modeldistributed networking |
| spellingShingle | Yujie Ouyang Yunfeng Han Zeyu Wang Yifei He Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models Journal of Marine Science and Engineering underwater network time synchronization factor graph model distributed networking |
| title | Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models |
| title_full | Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models |
| title_fullStr | Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models |
| title_full_unstemmed | Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models |
| title_short | Underwater Network Time Synchronization Method Based on Probabilistic Graphical Models |
| title_sort | underwater network time synchronization method based on probabilistic graphical models |
| topic | underwater network time synchronization factor graph model distributed networking |
| url | https://www.mdpi.com/2077-1312/12/11/2079 |
| work_keys_str_mv | AT yujieouyang underwaternetworktimesynchronizationmethodbasedonprobabilisticgraphicalmodels AT yunfenghan underwaternetworktimesynchronizationmethodbasedonprobabilisticgraphicalmodels AT zeyuwang underwaternetworktimesynchronizationmethodbasedonprobabilisticgraphicalmodels AT yifeihe underwaternetworktimesynchronizationmethodbasedonprobabilisticgraphicalmodels |