Hidenori Koyasu
Papers
1
Total Citations
13
H-Index
1
About
Hidenori Koyasu is a researcher whose work lies at the intersection of ubiquitous computing, wireless sensor networks, and intelligent robotics. His most cited paper, "ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing" (2016, 13 citations), tackles a core challenge in smart environments: achieving accurate, real-world indoor positioning. Koyasu’s key contribution is the integration of statistical machine learning with wireless communication technologies to optimize sensor placement, making localization both more reliable and practical for everyday home sensing. This work is particularly valuable for the ubiquitous computing and robotics communities, where precise indoor navigation is critical. By addressing the gap between theoretical localization models and real-world deployment constraints, Koyasu has helped advance the feasibility of intelligent, context-aware systems. His research continues to influence the development of smarter, more responsive environments, bridging the gap between sensor hardware and adaptive algorithms.
Research Focus
Key Achievements
Top Papers
- 1