Xinyan Su
Papers
1
Total Citations
18
H-Index
1
About
Xinyan Su is a researcher focused on advancing the efficiency and longevity of underwater sensor networks (UWSNs), a critical technology for ocean monitoring and exploration. Her work addresses the fundamental challenge of energy constraints in underwater environments, where sensor batteries are difficult to replace. Su's most cited paper, "A Study on the Clustering Technology of Underwater Isomorphic Sensor Networks Based on Energy Balance" (2014), with 18 citations, introduces innovative clustering algorithms designed to optimize energy distribution and extend network lifetime. By tackling the unique demands of underwater heterogeneous sensor networks (UWHSNs), she has contributed to more stable and sustainable communication systems. Her research is particularly notable for bridging theoretical network design with practical energy-saving solutions, offering a pathway to more resilient underwater infrastructure. Su's contributions are essential for students and researchers exploring energy-efficient protocols in aquatic sensor systems, highlighting her role in shaping the future of underwater IoT and environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1