Research Article
An Edge Computing-Based Framework for Marine Fishery Vessels Monitoring Systems
@INPROCEEDINGS{10.1007/978-3-030-30146-0_14, author={Fengwei Zhu and Yongjian Ren and Jie Huang and Jian Wan and Hong Zhang}, title={An Edge Computing-Based Framework for Marine Fishery Vessels Monitoring Systems}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings}, proceedings_a={COLLABORATECOM}, year={2019}, month={8}, keywords={VMS Edge computing BDS Marine fishery}, doi={10.1007/978-3-030-30146-0_14} }- Fengwei Zhu
Yongjian Ren
Jie Huang
Jian Wan
Hong Zhang
Year: 2019
An Edge Computing-Based Framework for Marine Fishery Vessels Monitoring Systems
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-30146-0_14
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.
