Journal
IEEE INTERNET OF THINGS JOURNAL
Volume 8, Issue 17, Pages 13126-13144Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3081918
Keywords
Location awareness; Classification algorithms; Wireless sensor networks; Monitoring; Internet of Things; Taxonomy; Prediction algorithms; Distance measurement; network architecture; network scale; survey; underwater localization; underwater sensor network
Categories
Funding
- Scientific and Technological Innovation and Entrepreneurship Talents and Seedling Engineering Projects in Science & Technology Department of Sichuan Province [2020JDRC0007]
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Underwater localization, a significant component of ocean exploration, has attracted extensive attention in both military and civil fields. Underwater wireless sensor networks (UWSNs) are favored for their low cost and convenience, strengthening the trinity of land, sea, and air as an important part of the Internet of Things (IoT). Many scholars have optimized localization algorithms and introduced new methods to better locate target nodes, promoting the development of related fields.
As a significant component of ocean exploration, underwater localization has attracted extensive attention in both military and civil fields. Due to its low cost and convenience, underwater wireless sensor networks (UWSNs) is favored by related fields. As an important part of the Internet of Things (IoT), it can strengthen the trinity of land, sea, and air. The location of the underwater sensor node is the foundation of the UWSN application and is one of the research hotspots today. Many relevant research scholars have optimized the localization algorithm or introduced new methods to better locate the target nodes, thus promoting the development of related fields. In this article, the challenges of underwater acoustic communication and underwater positioning, the comparison between UWSNs and terrestrial wireless sensor networks (WSNs), the network structure, routing technology, and localization evaluation criteria are all introduced in detail. Moreover, we survey many cutting-edge underwater localization algorithms based on a new taxonomy (i.e., distance measurement, network scale, and anchor utilization). Moreover, these localization algorithms are compared and analyzed from various aspects. Meanwhile, localization discussion and research prospects are illustrated in this article.
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