Xiaohan Xianyu
Papers
1
Total Citations
2
H-Index
1
About
Xiaohan Xianyu’s research centers on wireless sensor networks (WSNs), with a particular focus on localization algorithms for GPS-denied environments—critical for applications like indoor navigation and mobile robotics. His most cited work, “Localization error propagation model of range-based least squares method for wireless sensor networks,” introduces a rigorous analytical framework that quantifies how measurement errors propagate through the least squares positioning process. This contribution is especially valuable because it moves beyond empirical observations to provide a predictive model, enabling engineers to anticipate and mitigate localization inaccuracies before deployment. The paper has garnered 2 citations, marking it as a foundational reference for researchers tackling error analysis in WSN localization. Xianyu’s work addresses a pressing challenge: as WSNs become ubiquitous in smart buildings, disaster response, and autonomous systems, reliable positioning without GPS is paramount. By modeling error propagation, his research helps improve the robustness of range-based localization, directly impacting the design of more accurate and resilient sensor networks. His contributions are a stepping stone for advancing practical, low-cost localization solutions in complex environments.
Research Focus
Key Achievements
Top Papers
- 1