Optimal Reference Nodes Deployment for Positioning Seafloor Anchor Nodes in Internet of Underwater Things

Seafloor anchor nodes are a crucial component of Internet of Underwater Things (IoUT), which is designed to provide surface and underwater users with positioning, navigation, timing and communication (PNTC) services. Traditional anchor node positioning typically uses cross or circular shaped deployment. However, accurate positioning of underwater anchor nodes becomes a challenge task due to the nonuniform distribution of underwater sound speed, which is seldom considered in the literature. Due to the complexity of distance measurement caused by curved sound lines, the optimization of reference node deployment based on curved sound lines is worthy of further research. This article focuses on the optimal reference node deployment strategies for time-of-arrival (TOA) localization of anchor nodes in IoUT networks in 3-D underwater space. We adopt the criterion that minimizing the trace of the inverse Fisher information matrix (FIM) to facilitate the optimal reference nodes deployment with Gaussian measurement noise, the magnitude of which is positive related to the real signal propagation path. It is proved that the optimal reference node deployment position exhibits central symmetry with respect to the target, which greatly simplifies the analysis of the optimal node deployment position. Then, a semi-closed form of the optimal pitch angle is derived to determine the optimal geometries. To demonstrate the findings in this article, we conducted both simulations and real-world experiments on underwater anchor node positioning. Both the simulation and experiment results demonstrate that the proposed deployment scheme significantly improve the positioning accuracy.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-12-31
DOI
https://doi.org/10.1109/jiot.2024.3524405
Citations
6
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
2.01

Funders

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article

Optimal Reference Nodes Deployment for Positioning Seafloor Anchor Nodes in Internet of Underwater Things

Wei Huang, Pengfei Wu, Kaitao Meng, Tianhe Xu et al.
6 citations
IEEE Internet of Things Journal
Underwater Vehicles and Communication Systems
2.01
article

Optimal Reference Nodes Deployment for Positioning Seafloor Anchor Nodes in Internet of Underwater Things

Wei Huang, Pengfei Wu, Kaitao Meng, Tianhe Xu, Hao Zhang
article en
6 citations

Abstract

Seafloor anchor nodes are a crucial component of Internet of Underwater Things (IoUT), which is designed to provide surface and underwater users with positioning, navigation, timing and communication (PNTC) services. Traditional anchor node positioning typically uses cross or circular shaped deployment. However, accurate positioning of underwater anchor nodes becomes a challenge task due to the nonuniform distribution of underwater sound speed, which is seldom considered in the literature. Due to the complexity of distance measurement caused by curved sound lines, the optimization of reference node deployment based on curved sound lines is worthy of further research. This article focuses on the optimal reference node deployment strategies for time-of-arrival (TOA) localization of anchor nodes in IoUT networks in 3-D underwater space. We adopt the criterion that minimizing the trace of the inverse Fisher information matrix (FIM) to facilitate the optimal reference nodes deployment with Gaussian measurement noise, the magnitude of which is positive related to the real signal propagation path. It is proved that the optimal reference node deployment position exhibits central symmetry with respect to the target, which greatly simplifies the analysis of the optimal node deployment position. Then, a semi-closed form of the optimal pitch angle is derived to determine the optimal geometries. To demonstrate the findings in this article, we conducted both simulations and real-world experiments on underwater anchor node positioning. Both the simulation and experiment results demonstrate that the proposed deployment scheme significantly improve the positioning accuracy.

IEEE Internet of Things JournalVol. 12(10)
Shandong University (CN), Weihai Science and Technology Bureau (CN), University College London (GB), Ocean University of China (CN)
Qingdao Postdoctoral Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities
Life below water
Openalex Percentile: Top 14%
Underwater Vehicles and Communication Systems
2.01
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