Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery
Vessel Monitoring Systems (VMS) are extensively used in the world to provide information on the vessel's spatiotemporal distribution, monitor the fishing activities of marine fishery and manage the safety of vessel navigation. In the traditional VMS, there are some deficiencies in the interacti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9033969/ |
| _version_ | 1828890623242928128 |
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| author | Jie Huang Jian Wan Jianjun Yu Fengwei Zhu Yongjian Ren |
| author_facet | Jie Huang Jian Wan Jianjun Yu Fengwei Zhu Yongjian Ren |
| author_sort | Jie Huang |
| collection | DOAJ |
| description | Vessel Monitoring Systems (VMS) are extensively used in the world to provide information on the vessel's spatiotemporal distribution, monitor the fishing activities of marine fishery and manage the safety of vessel navigation. In the traditional VMS, there are some deficiencies in the interaction and real-time communication between the land system and marine vessel. We present an edge computing-based adaptable trajectory transmission policy (EC-ATT) for VMS to improve the communication efficiency in this paper. Firstly, a novel VMS framework named EC-VMS is proposed which composed of four layers. Each vessel has an edge computing intelligent node to collect data, process and transmit data. Meanwhile, the edge computing server is set up to enhance collaborative computing between the cloud and the edge, that transmits data through the Beidou navigation satellite system. Secondly, the EC-ATT utilizes the computing power of edge nodes to establish an adaptive data transmission mechanism, which reduces redundant data and satellite communication frequency. Besides, the packet loss feedback mechanism and error checking strategy are used to ensure the reliability of data transmission. The experimental results show that EC-ATT has better performance in typical cases, which not only reduces the average communication time but also strengthens the real-time availability of the VMS. |
| first_indexed | 2024-12-13T13:02:19Z |
| format | Article |
| id | doaj.art-cc3a7a319e3f4effb2564d11efeb7e41 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:02:19Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cc3a7a319e3f4effb2564d11efeb7e412022-12-21T23:44:58ZengIEEEIEEE Access2169-35362020-01-018506845069510.1109/ACCESS.2020.29803229033969Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine FisheryJie Huang0https://orcid.org/0000-0001-9717-8355Jian Wan1Jianjun Yu2Fengwei Zhu3Yongjian Ren4School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, ChinaSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, ChinaSoftware Industry Solutions Center, AVEVA Group Plc (Schneider Electric Software Business), SingaporeSchool of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, ChinaVessel Monitoring Systems (VMS) are extensively used in the world to provide information on the vessel's spatiotemporal distribution, monitor the fishing activities of marine fishery and manage the safety of vessel navigation. In the traditional VMS, there are some deficiencies in the interaction and real-time communication between the land system and marine vessel. We present an edge computing-based adaptable trajectory transmission policy (EC-ATT) for VMS to improve the communication efficiency in this paper. Firstly, a novel VMS framework named EC-VMS is proposed which composed of four layers. Each vessel has an edge computing intelligent node to collect data, process and transmit data. Meanwhile, the edge computing server is set up to enhance collaborative computing between the cloud and the edge, that transmits data through the Beidou navigation satellite system. Secondly, the EC-ATT utilizes the computing power of edge nodes to establish an adaptive data transmission mechanism, which reduces redundant data and satellite communication frequency. Besides, the packet loss feedback mechanism and error checking strategy are used to ensure the reliability of data transmission. The experimental results show that EC-ATT has better performance in typical cases, which not only reduces the average communication time but also strengthens the real-time availability of the VMS.https://ieeexplore.ieee.org/document/9033969/Vessels monitoring systemsedge computingmarine communicationvessel trajectory |
| spellingShingle | Jie Huang Jian Wan Jianjun Yu Fengwei Zhu Yongjian Ren Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery IEEE Access Vessels monitoring systems edge computing marine communication vessel trajectory |
| title | Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery |
| title_full | Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery |
| title_fullStr | Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery |
| title_full_unstemmed | Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery |
| title_short | Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery |
| title_sort | edge computing based adaptable trajectory transmission policy for vessels monitoring systems of marine fishery |
| topic | Vessels monitoring systems edge computing marine communication vessel trajectory |
| url | https://ieeexplore.ieee.org/document/9033969/ |
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