연안에서 비용 효과적인 선박 안전 정보 전달

Title
연안에서 비용 효과적인 선박 안전 정보 전달
Alternative Title
Cost-Effective Ship Safety Data Transfer in Coastal Areas
Author(s)
양현
KIOST Author(s)
Yang, Hyun(양현)
Publication Year
2018-05-13
Abstract
Recent advances in information and communications technology (ICT) have improved ship safety management. Ships can be monitored and controlled remotely using ship-to-ship and ship-to-shore communications technologies. These methods entail the sharing of vessel status information to prevent ship-related accidents and increase safety. In coastal areas, most ships transmit and receive data via wireless communications networks based on radio frequency (RF), long-term evolution (LTE), satellite, and other technologies. RF-based and LTE-based networks can be utilized when the communications are within the range of dozens of kilometers. On the other hand, satellite-based networks cover the entire ocean, but the associated costs are very expensive. In this study, we propose a cost-effective ship data transfer scheme to guarantee reliable data transfer but also optimize communication costs via adaptive network selection. In the proposed scheme, RF-based and LTE-based networks are selected as the default modes to reduce costs. However, when a ship enters a radio shadow, it temporarily switches to satellite-based mode to guarantee data reliability. Therefore, it rarely transmits data over the satellite-based network, saving on communications costs. In an emergency, the data can be transmitted frequently without regard to costs to improve safety performance. To validate the performance of the proposed scheme, we performed severa
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23368
Bibliographic Citation
15th International Coastal Symposium, pp.120, 2018
Publisher
Coastal Education and Research Foundation
Type
Conference
Language
English
Publisher
Coastal Education and Research Foundation
Related Researcher
Research Interests

Ocean Satellite ICT Convergence,Artificial Intelligence/Deep Learning,Ocean Big Data,해양 위성 ICT 융합,인공지능/딥러닝,해양 빅데이터

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