Sensor Selection for Hybrid AOA-TOA Localization with Correlated Measurement Noise in Underwater Wireless Sensor Networks

Zhou, Rongyan; Chen, Jianfeng; Tan, Weijie; Yuan, Haobo; Cai, Chang

doi:10.1155/2022/2779760

Cited by 3 publications

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AOA has also been applied to correct ranges in multilateration-only localization underwater [66]. RF attenuation underwater can be severe, which places great importance on placing sensors and selecting which sensors to include in a solution [100], [147].…”

Section: ) Underwater Localizationmentioning

confidence: 99%

A Review of Linear Multilateration Techniques and Applications

Widdison,

Long

2024

IEEE Access

View full text Add to dashboard Cite

In multilateration, distances between an unknown location and several known points are used to determine the location of the unknown point. Papers on algorithms for multilateration, such as time of arrival (TOA), time difference of arrival (TDOA), and angle of arrival (AOA), have proliferated in the literature. These use the same equations, but are often written in a way that hides the underlying geometry and make it difficult to see the similarity in approaches between different papers. This paper provides a review of TOA and AOA-based localization approaches, with a focus on linear positioning algorithms. This paper presents simple and consistent versions of TOA, TDOA, and AOA position equations with intuitive explanations for how those equations relate to the geometry of the localization problem. This perspective can make it easier to implement these algorithms in a way that produces stable results and provides insight into the underlying geometric problem. We also review the literature relating to TDOA and AOA localization algorithms and multistatic radar.

show abstract

Section: ) Underwater Localizationmentioning

confidence: 99%

A Review of Linear Multilateration Techniques and Applications

Widdison,

Long

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

A survey on localization and energy efficiency in UWSN: bio-inspired approach

Murali,

Shankar

2024

Discov Appl Sci

View full text Add to dashboard Cite

The underwater wireless sensor networks (UWSNs) area is a developing area of research since there are tremendous opportunities like surveying marine life, installing and monitoring optical cables, detecting earthquakes, and surveillance of territorial borders. Though many applications exist, underwater research explored to date is less than five percent as it poses many issues and challenges like water currents, temperature, pressure, water salinity, disturbance by aquatic animals, and many more factors that affect the performance of sensors deployed inside water. A significant issue UWSNs face is focusing on energy efficiency to extend the life of submerged sensors placed in isolated areas. Resolving localization concerns is a primary additional concern. In this comprehensive survey, the basics of UWSNs are covered in the introduction, followed by a thorough literature review of the existing works mainly focusing on localization, energy efficiency, Bio-inspired algorithms (BIA), and the impact of implementing Machine Learning (ML) are discussed. In concurrent sections, we have discussed attributes, parameters useful for analysis, issues and challenges in UWSN, soft computing techniques, software and hardware tools available for extended research, and opportunities in UWSN. The researchers could gain perspective pathways at the end of this survey.

show abstract