Intelligent Ocean Convergence Platform Based on IoT Empowered with Edge Computing

被引:8
|
作者
Liang, Mingzhou [1 ]
Su, Xin [1 ]
Liu, Xiaofeng [1 ,2 ,3 ]
Zhang, Xuewu [1 ]
机构
[1] Hohai Univ, Coll IOT Engn, Nanjing, Peoples R China
[2] Jiangsu Key Lab Special Robots, Changzhou, Peoples R China
[3] Changzhou Key Lab Special Robots & Intelligent Te, Changzhou, Peoples R China
来源
JOURNAL OF INTERNET TECHNOLOGY | 2020年 / 21卷 / 01期
基金
中国国家自然科学基金;
关键词
Ocean network; Edge computing; SDN; SANET; End-to-end delay; AD-HOC NETWORKS; DISSEMINATION; SCHEME;
D O I
10.3966/160792642020012101020
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The ocean is currently crowded with vessels, including but not limited to commercial ships and submarines used for military operations or scientific investigations. Each of these vessels and their on-board equipment produce a massive amount of data that need to be shared with potential destinations. The current popular Intelligent Ocean Convergence Platform is suggested to support oceanic services by taking advantage of the novel concepts of the Internet of Things and 5G communications. However, the processing activities are not always centrally performed within the cloud but are sometimes shifted to the edge of the network according to edge computing. In this paper, we propose a combination of software-defined networking and edge computing, where software technology is used to support interoperability of heterogeneous network technologies, as well as edge computing enables ultra-reliability, scalability, and low latency in ocean networks. This will meet the rapid growth of marine vessels' demand for rapid computing and communication capabilities. Through the simulation of the average end-to-end delay, the efficiency of the proposed architecture based edge computing is evaluated.
引用
收藏
页码:235 / 244
页数:10
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