Papers
2
Total Citations
112
H-Index
2
About
RN Uma is a leading researcher in wireless sensor networks, with a primary focus on optimizing data collection through mobile elements. Her work addresses critical challenges in minimizing data collection latency, particularly through the use of multiple mobile data MULEs—such as robots or vehicles—that traverse sensor fields to gather information. Her most influential contributions include two highly cited papers from 2012 and 2013, which together have garnered over 110 citations. In these works, she defines and solves novel optimization problems, including the k-traveling salesman problem variant, to compute optimal trajectories for multiple mobile collectors. By relaxing traditional assumptions, her research provides more practical and efficient solutions for real-world sensor network deployments. Her work has significantly advanced the understanding of how to balance energy efficiency, network coverage, and latency in large-scale sensor systems. Uma’s research is particularly valuable for applications in environmental monitoring, smart agriculture, and disaster response, where timely data collection is critical. Her contributions have established her as a key figure in the field of mobile data collection in wireless sensor networks.
Research Focus
Key Achievements
Top Papers
- 1
- 2