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...
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Autor*in:	Jie Huang [verfasserIn] Jian Wan [verfasserIn] Jianjun Yu [verfasserIn] Fengwei Zhu [verfasserIn] Yongjian Ren [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Vessels monitoring systems edge computing marine communication vessel trajectory

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 8(2020), Seite 50684-50695
Übergeordnetes Werk:	volume:8 ; year:2020 ; pages:50684-50695

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2020.2980322

Katalog-ID:	DOAJ047690461

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spelling	10.1109/ACCESS.2020.2980322 doi (DE-627)DOAJ047690461 (DE-599)DOAJcc3a7a319e3f4effb2564d11efeb7e41 DE-627 ger DE-627 rakwb eng TK1-9971 Jie Huang verfasserin aut Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Vessels monitoring systems edge computing marine communication vessel trajectory Electrical engineering. Electronics. Nuclear engineering Jian Wan verfasserin aut Jianjun Yu verfasserin aut Fengwei Zhu verfasserin aut Yongjian Ren verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 50684-50695 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:50684-50695 https://doi.org/10.1109/ACCESS.2020.2980322 kostenfrei https://doaj.org/article/cc3a7a319e3f4effb2564d11efeb7e41 kostenfrei https://ieeexplore.ieee.org/document/9033969/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 50684-50695
allfields_unstemmed	10.1109/ACCESS.2020.2980322 doi (DE-627)DOAJ047690461 (DE-599)DOAJcc3a7a319e3f4effb2564d11efeb7e41 DE-627 ger DE-627 rakwb eng TK1-9971 Jie Huang verfasserin aut Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Vessels monitoring systems edge computing marine communication vessel trajectory Electrical engineering. Electronics. Nuclear engineering Jian Wan verfasserin aut Jianjun Yu verfasserin aut Fengwei Zhu verfasserin aut Yongjian Ren verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 50684-50695 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:50684-50695 https://doi.org/10.1109/ACCESS.2020.2980322 kostenfrei https://doaj.org/article/cc3a7a319e3f4effb2564d11efeb7e41 kostenfrei https://ieeexplore.ieee.org/document/9033969/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 50684-50695
allfieldsGer	10.1109/ACCESS.2020.2980322 doi (DE-627)DOAJ047690461 (DE-599)DOAJcc3a7a319e3f4effb2564d11efeb7e41 DE-627 ger DE-627 rakwb eng TK1-9971 Jie Huang verfasserin aut Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Vessels monitoring systems edge computing marine communication vessel trajectory Electrical engineering. Electronics. Nuclear engineering Jian Wan verfasserin aut Jianjun Yu verfasserin aut Fengwei Zhu verfasserin aut Yongjian Ren verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 50684-50695 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:50684-50695 https://doi.org/10.1109/ACCESS.2020.2980322 kostenfrei https://doaj.org/article/cc3a7a319e3f4effb2564d11efeb7e41 kostenfrei https://ieeexplore.ieee.org/document/9033969/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 50684-50695
allfieldsSound	10.1109/ACCESS.2020.2980322 doi (DE-627)DOAJ047690461 (DE-599)DOAJcc3a7a319e3f4effb2564d11efeb7e41 DE-627 ger DE-627 rakwb eng TK1-9971 Jie Huang verfasserin aut Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Vessels monitoring systems edge computing marine communication vessel trajectory Electrical engineering. Electronics. Nuclear engineering Jian Wan verfasserin aut Jianjun Yu verfasserin aut Fengwei Zhu verfasserin aut Yongjian Ren verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 50684-50695 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:50684-50695 https://doi.org/10.1109/ACCESS.2020.2980322 kostenfrei https://doaj.org/article/cc3a7a319e3f4effb2564d11efeb7e41 kostenfrei https://ieeexplore.ieee.org/document/9033969/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 50684-50695
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source	In IEEE Access 8(2020), Seite 50684-50695 volume:8 year:2020 pages:50684-50695
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topic_facet	Vessels monitoring systems edge computing marine communication vessel trajectory Electrical engineering. Electronics. Nuclear engineering
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authorswithroles_txt_mv	Jie Huang @@aut@@ Jian Wan @@aut@@ Jianjun Yu @@aut@@ Fengwei Zhu @@aut@@ Yongjian Ren @@aut@@
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callnumber-first	T - Technology
author	Jie Huang
spellingShingle	Jie Huang misc TK1-9971 misc Vessels monitoring systems misc edge computing misc marine communication misc vessel trajectory misc Electrical engineering. Electronics. Nuclear engineering Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery
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topic_title	TK1-9971 Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery Vessels monitoring systems edge computing marine communication vessel trajectory
topic	misc TK1-9971 misc Vessels monitoring systems misc edge computing misc marine communication misc vessel trajectory misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Vessels monitoring systems misc edge computing misc marine communication misc vessel trajectory misc Electrical engineering. Electronics. Nuclear engineering
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title	Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery
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title_sort	edge computing-based adaptable trajectory transmission policy for vessels monitoring systems of marine fishery
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title_auth	Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery
url	https://doi.org/10.1109/ACCESS.2020.2980322 https://doaj.org/article/cc3a7a319e3f4effb2564d11efeb7e41 https://ieeexplore.ieee.org/document/9033969/ https://doaj.org/toc/2169-3536
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