Localization Algorithm for Underwater Sensor Network: A Review

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...

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Veröffentlicht in:IEEE internet of things journal Jg. 8; H. 17; S. 13126 - 13144
Hauptverfasser: Luo, Junhai, Yang, Yang, Wang, Zhiyan, Chen, Yanping
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.09.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Classification algorithms
Distance measurement
Internet of Things
Localization
Location awareness
Monitoring
network architecture
network scale
Prediction algorithms
Sensors
survey
Taxonomy
Technology assessment
Underwater acoustics
Underwater communication
Underwater detectors
underwater localization
underwater sensor network
Wireless networks
Wireless sensor networks
ISSN:2327-4662, 2327-4662
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Zusammenfassung: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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ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2021.3081918