Optimal Reference Nodes Deployment for Positioning Seafloor Anchor Nodes in Internet of Underwater Things
Year: 2024
Type: article
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.
Source: IEEE Internet of Things Journal
Authors: Wei Huang, Pengfei Wu, Tianhe Xu, Hao Zhang, Kaitao Meng
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4405934261