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An Edge Computing-Based Framework for Marine Fishery Vessels Monitoring Systems

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2019)

Abstract

Vessel Monitoring Systems (VMS) have been adopted by many countries which provide information on the spatial and temporal distribution of fishing activity. Real-time communication and interaction between fishing vessels and shore-based systems is a weakness of traditional vessel monitoring systems. This paper proposes a novel framework of edge computing-based VMS (EC-VMS). The framework of EC-VMS mainly consists of four layers. An edge computing terminal is used on each vessel, and the BeiDou navigation satellite system (BDS) is adopted for communication. Meanwhile, edge computing servers interact with corresponding management vessels and the cloud. In order to decrease the communication cost, a data transmission policy called Adaptable Trajectory Transmission Model (ATTM) is presented in this paper. The experimental results illustrate the efficiency of the proposed EC-VMS, with the average communication time significantly decreased in a typical scenario. Moreover, EC-VMS improves the real-time performance of the system.

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Acknowledgment

This work was supported in part by the Key Research and Development Project of Zhejiang Province (Grant No. 2017C03024), the National Natural Science Foundation of China (Grant No. 61572163) and the Zhejiang Province Research Program (Grant No. 2017C33065).

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Authors and Affiliations

  1. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China

    Fengwei Zhu, Yongjian Ren, Jie Huang & Jian Wan

  2. Institute of Science and Technology Information Research of Zhejiang Province, Hangzhou, 310006, China

    Hong Zhang

Authors
  1. Fengwei Zhu
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  2. Yongjian Ren
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  3. Jie Huang
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  4. Jian Wan
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  5. Hong Zhang
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Corresponding author

Correspondence to Jie Huang .

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Editors and Affiliations

  1. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Xinheng Wang

  2. Shanghai University, Shanghai, China

    Honghao Gao

  3. London South Bank University, London, UK

    Muddesar Iqbal

  4. University of Exeter, Exeter, UK

    Geyong Min

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhu, F., Ren, Y., Huang, J., Wan, J., Zhang, H. (2019). An Edge Computing-Based Framework for Marine Fishery Vessels Monitoring Systems. In: Wang, X., Gao, H., Iqbal, M., Min, G. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-030-30146-0_14

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  • DOI: https://doi.org/10.1007/978-3-030-30146-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30145-3

  • Online ISBN: 978-3-030-30146-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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