Papers
3
Total Citations
48
H-Index
3
About
Ye-Qiong Song is a leading researcher in the fields of wireless sensor networks, mobile robotics, and cyber-physical systems (CPS), with a particular focus on energy-efficient target tracking and autonomous multi-robot coordination. Her major contributions center on developing novel coordinative moving strategies for mobile sensor networks with limited sensing ranges, enabling reliable target detection and tracking while minimizing energy consumption. Her seminal 2016 paper on energy-efficient target tracking, with 30 citations, provides foundational algorithms for deploying low-cost mobile sensors in critical applications. Song also played a key role in the AETOURNOS project, which advances safe autonomous formation flying (flocking) of UAVs by integrating robotics, wireless communication, and CPS principles. Her work has garnered over 48 citations across her most-cited publications, demonstrating significant impact in the field. By bridging theoretical algorithms with practical simulation and platform tools, Song has established herself as a key contributor to the development of robust, energy-aware autonomous systems for real-world tracking and surveillance missions.
Research Focus
Key Achievements
Top Papers
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