Papers
4
Total Citations
141
H-Index
4
About
Donghyun Kim is a computer scientist whose research sits at the intersection of wireless sensor networks, mobile robotics, and trajectory optimization. His work has made significant contributions to the field of data collection in sensor networks, particularly through the development of algorithms that minimize latency in wireless sensor network (WSN) environments using mobile data carriers — commonly referred to as data MULEs or data ferries. Kim's most influential contributions center on the optimal trajectory planning of multiple mobile elements navigating sensor networks to collect data efficiently. His 2013 paper on minimum latency multiple data MULE trajectory planning (59 citations) and his closely related 2012 work on minimizing data collection latency with multiple mobile elements (53 citations) established foundational frameworks drawing on variants of the classical k-traveling salesperson problem. Extending this work, his 2014 research introduced heterogeneous data ferry trajectory planning, addressing more complex, real-world multi-robotic deployment scenarios (23 citations). Kim further broadened the practical applications of his optimization methods by incorporating communication power planning for long-term environmental monitoring. Collectively, his research has shaped how the robotics and networking communities approach large-scale, energy-efficient sensor data collection, earning him a respected position in networked mobile systems research.
Research Focus
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Top Papers
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