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Localization Algorithm for Underwater Sensor Network: A Review

delete2021-09-01
delete105
PRE
AI
J
Junhai Luo *
Y
Yang Yang
Z
Zhiyan Wang
Y
Yanping Chen
DOI：10.1109/JIOT.2021.3081918delete
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Abstract

Abstract

En 中文
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.
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
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

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No organization information available