Xiwen Ma
Papers
1
Total Citations
9
H-Index
1
About
Xiwen Ma is a researcher focused on advancing the reliability and efficiency of underwater sensor networks, with a particular emphasis on adaptive navigation and error correction. Their most-cited work, "Adaptive location correction and path re-planning based on error estimation method in underwater sensor networks" (2022), has garnered 9 citations, marking a foundational contribution to the field. In this study, Ma introduced a novel framework that dynamically adjusts node positions and recalculates optimal paths by leveraging real-time error estimation, addressing critical challenges in underwater environments where GPS signals are unavailable and acoustic communication is prone to distortion. This work directly enhances the robustness of autonomous underwater vehicles and sensor nodes, enabling more precise data collection and prolonged network lifespan. Ma’s research bridges theoretical modeling and practical deployment, offering scalable solutions for oceanographic monitoring, environmental sensing, and military applications. By tackling the inherent uncertainties of underwater localization, Ma has laid groundwork for future innovations in resilient, self-correcting sensor systems. Their contributions are particularly valuable for students and researchers exploring adaptive algorithms in harsh, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1