Rung-Ching Chen
Papers
1
Total Citations
76
H-Index
1
About
Rung-Ching Chen is a leading researcher in wireless sensor networks and swarm intelligence optimization, with a particular focus on energy-efficient data collection strategies. His most influential work, "An artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks" (2013), has accumulated 76 citations, demonstrating its lasting impact on the field. Chen's major contribution lies in adapting nature-inspired algorithms—specifically the artificial bee colony method—to solve complex routing and path planning problems in resource-constrained sensor networks. By addressing the challenge of sparse node deployment, his approach significantly reduces energy consumption and extends network lifetime, offering practical solutions for environmental monitoring and IoT applications. His work bridges theoretical optimization with real-world deployment constraints, making it highly relevant for researchers tackling scalability and efficiency in wireless communications. Chen's research continues to influence the development of intelligent data collection frameworks, and his citation record reflects the enduring value of his algorithmic innovations in the sensor network community.
Research Focus
Key Achievements
Top Papers
- 1