Marine Wireless Big Data: Efficient Transmission, Related Applications, and Challenges

Marine Wireless Big Data: Efficient Transmission, Related Applications, and Challenges
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DOI:
10.1109/mwc.2018.1700192
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发表时间:
2017-10
影响因子:
12.9
通讯作者:
Yuzhou Li;Yu Zhang;Wei Li;Tao Jiang
Yuzhou Li;Yu Zhang;Wei Li;Tao Jiang
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yuzhou Li;Yu Zhang;Wei Li;Tao Jiang

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海量的海洋无线采样数据及其持续爆发式增长预示着海洋无线大数据时代的到来。这些数据带来的两个挑战是如何在极端恶劣的海洋环境中快速、可靠和可持续地提供这些数据,以及如何在收集后应用这些数据。在这篇文章中,我们首先提出了一个异构海洋网络的架构,灵活地利用现有的水下无线技术作为一个潜在的解决方案,快速数据传输。然后,我们调查的可能性,并制定了节能和可靠的海底传输方案,没有或略有数据速率降低。在讨论了数据传输的基础上,总结了大数据的应用前景,重点讨论了大数据在海面目标检测和海洋目标识别中的应用问题。文章还讨论了在传播和检测/识别方面需要进一步探讨的开放性问题和挑战。
The vast volume of marine wireless sampling data and its continuously explosive growth herald the coming of the era of marine wireless big data. Two challenges imposed by these data are how to fast, reliably, and sustainably deliver them in extremely hostile marine environments and how to apply them after collection. In this article, we first propose an architecture of heterogeneous marine networks that flexibly exploits the existing underwater wireless techniques as a potential solution for fast data transmission. We then investigate the possibilities of and develop the schemes for energy-efficient and reliable undersea transmission without or with slight data rate reduction. After discussing the data transmission, we summarize the possible applications of the collected big data and particularly focus on the problems of applying these data in sea-surface object detection and marine object recognition. Open issues and challenges that need to be further explored regarding transmission and detection/recognition are also discussed in the article.