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水下无线传感器网络调查:需求、分类、最新进展和开放研究挑战。

A Survey on Underwater Wireless Sensor Networks: Requirements, Taxonomy, Recent Advances, and Open Research Challenges.

机构信息

Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya (UM), Kuala Lumpur 50603, Malaysia.

Faculty of Computing and Informatics, Universiti Malaysia Sabah (UMS), Kota Kinabalu 88400, Sabah, Malaysia.

出版信息

Sensors (Basel). 2020 Sep 21;20(18):5393. doi: 10.3390/s20185393.

Abstract

The domain of underwater wireless sensor networks (UWSNs) had received a lot of attention recently due to its significant advanced capabilities in the ocean surveillance, marine monitoring and application deployment for detecting underwater targets. However, the literature have not compiled the state-of-the-art along its direction to discover the recent advancements which were fuelled by the underwater sensor technologies. Hence, this paper offers the newest analysis on the available evidences by reviewing studies in the past five years on various aspects that support network activities and applications in UWSN environments. This work was motivated by the need for robust and flexible solutions that can satisfy the requirements for the rapid development of the underwater wireless sensor networks. This paper identifies the key requirements for achieving essential services as well as common platforms for UWSN. It also contributes a taxonomy of the critical elements in UWSNs by devising a classification on architectural elements, communications, routing protocol and standards, security, and applications of UWSNs. Finally, the major challenges that remain open are presented as a guide for future research directions.

摘要

由于水下无线传感器网络 (UWSN) 在海洋监测、海洋监控以及水下目标检测等应用部署方面具有显著的先进功能,因此该领域最近受到了广泛关注。然而,文献中并没有按照该方向对最新技术进展进行综述,以发现水下传感器技术所推动的最新进展。因此,本文通过回顾过去五年中在支持 UWSN 环境中网络活动和应用的各个方面的研究,对现有证据进行了最新分析。这项工作的动机是需要满足水下无线传感器网络快速发展的需求的稳健和灵活的解决方案。本文确定了实现基本服务和 UWSN 通用平台的关键要求。它还通过对架构元素、通信、路由协议和标准、安全性以及 UWSN 的应用进行分类,为 UWSN 的关键元素设计了一种分类法。最后,提出了仍然存在的主要挑战,作为未来研究方向的指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d86/7570626/a2cc8387da51/sensors-20-05393-g001.jpg

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