Xiangrui Tian

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Xiangrui Tian’s research focuses on advancing localization accuracy in wireless sensor networks (WSNs), particularly for GPS-denied environments such as indoor navigation and mobile robot positioning. His major contributions lie in the rigorous analysis and modeling of positioning errors inherent to the least squares method (LSM)—the most common and straightforward algorithm for position calculation. In his 2018 work, Tian provided a foundational analysis of positioning errors in LSM-based WSN localization, identifying key sources of inaccuracy and offering a framework for their mitigation. Building on this, his 2025 paper introduced a novel localization error propagation model, enabling researchers to predict and control how errors accumulate through the positioning process. This work is critical for designing more robust and reliable WSN systems. While his citation counts are currently modest (3 and 2 citations respectively), his contributions are timely and technically deep, addressing a fundamental challenge in practical WSN deployment. Tian’s research is particularly valuable for engineers and scientists working on autonomous systems, indoor navigation, and IoT applications where precise localization is essential.