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CONet: A Cognitive Ocean Network

计算机科学 海洋观测 海洋学 水下 电信 地质学
作者
Huimin Lu,Dong Wang,Yujie Li,Jianru Li,Xin Li,Hyoung Seop Kim,Seiichi Serikawa,Iztok Humar
出处
期刊:IEEE Wireless Communications [Institute of Electrical and Electronics Engineers]
卷期号:26 (3): 90-96 被引量:180
标识
DOI:10.1109/mwc.2019.1800325
摘要

The scientific and technological revolution of the Internet of Things has begun in the area of oceanography. Historically, humans have observed the ocean from an external viewpoint in order to study it. In recent years, however, changes have occurred in the ocean, and laboratories have been built on the sea floor. Approximately 70.8 percent of the Earth's surface is covered by oceans and rivers. The Ocean of Things is expected to be important for disaster prevention, ocean resource exploration, and underwater environmental monitoring. Unlike traditional wireless sensor networks, the Ocean Network has its own unique features, such as low reliability and narrow bandwidth. These features will be great challenges for the Ocean Network. Furthermore, the integration of the ocean network with artificial intelligence has become a topic of increasing interest for oceanology researchers. The cognitive ocean network (CONet) will become the mainstream of future ocean science and engineering developments. In this article, we define the CONet. The contributions of the article are as follows: a CONet architecture is proposed and described in detail; important and useful demonstration applications of the CONet are proposed; and future trends in CONet research are presented.
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