Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios
Marine adaptive sampling is a technique that makes full use of limited observation resources by selecting the optimal positions. Recently, the design of an adaptive sampling scheme based on a mobile platform has become a research hotspot. However, adaptive sampling system involves multiple subsystem...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/10/5/664 |
| _version_ | 1797498758371475456 |
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| author | Yuxin Zhao Hengde Zhao Yanlong Liu Xiong Deng |
| author_facet | Yuxin Zhao Hengde Zhao Yanlong Liu Xiong Deng |
| author_sort | Yuxin Zhao |
| collection | DOAJ |
| description | Marine adaptive sampling is a technique that makes full use of limited observation resources by selecting the optimal positions. Recently, the design of an adaptive sampling scheme based on a mobile platform has become a research hotspot. However, adaptive sampling system involves multiple subsystems, and the attributes as well as tasks are always different, which may lead to different sampling scenarios. A great deal of research has been conducted for specific situations, especially with fixed starting and ending points. However, systematic design and simulation experiments under various circumstances are still lacking. How to design the adaptive observation system, so as to cope with the observation task under different scenarios, is still a problem worth studying. Aiming to solve this problem, we designed a systematic scheme design process. The process includes setting up and verifying the background field, adopting the hierarchical optimization framework to adapt to different circumstances, and variable adjustments for twin frames. The needs covered in this paper include not having a fixed starting point and ending point, only having a fixed starting point, having a fixed starting point and ending point, increasing sampling coverage, and simple obstacle avoidance. Finally, the relevant conclusions are applied to the multi-platform simultaneous observation scenario. It provides a systematic flow pattern for designing adaptive sampling scheme of mobile platforms. |
| first_indexed | 2024-03-10T03:37:57Z |
| format | Article |
| id | doaj.art-be034ebbc8c04cfb9ad5c990c840e268 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-10T03:37:57Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-be034ebbc8c04cfb9ad5c990c840e2682023-11-23T11:40:02ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-05-0110566410.3390/jmse10050664Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different ScenariosYuxin Zhao0Hengde Zhao1Yanlong Liu2Xiong Deng3College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, ChinaMarine adaptive sampling is a technique that makes full use of limited observation resources by selecting the optimal positions. Recently, the design of an adaptive sampling scheme based on a mobile platform has become a research hotspot. However, adaptive sampling system involves multiple subsystems, and the attributes as well as tasks are always different, which may lead to different sampling scenarios. A great deal of research has been conducted for specific situations, especially with fixed starting and ending points. However, systematic design and simulation experiments under various circumstances are still lacking. How to design the adaptive observation system, so as to cope with the observation task under different scenarios, is still a problem worth studying. Aiming to solve this problem, we designed a systematic scheme design process. The process includes setting up and verifying the background field, adopting the hierarchical optimization framework to adapt to different circumstances, and variable adjustments for twin frames. The needs covered in this paper include not having a fixed starting point and ending point, only having a fixed starting point, having a fixed starting point and ending point, increasing sampling coverage, and simple obstacle avoidance. Finally, the relevant conclusions are applied to the multi-platform simultaneous observation scenario. It provides a systematic flow pattern for designing adaptive sampling scheme of mobile platforms.https://www.mdpi.com/2077-1312/10/5/664adaptive samplingintelligent optimizationdata assimilationocean forecasting |
| spellingShingle | Yuxin Zhao Hengde Zhao Yanlong Liu Xiong Deng Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios Journal of Marine Science and Engineering adaptive sampling intelligent optimization data assimilation ocean forecasting |
| title | Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios |
| title_full | Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios |
| title_fullStr | Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios |
| title_full_unstemmed | Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios |
| title_short | Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios |
| title_sort | marine adaptive sampling scheme design for mobile platforms under different scenarios |
| topic | adaptive sampling intelligent optimization data assimilation ocean forecasting |
| url | https://www.mdpi.com/2077-1312/10/5/664 |
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