Papers

4

Total Citations

16

H-Index

3

About

Eiji Nii is a researcher focused on the intersection of swarm intelligence, mobile robotics, and wireless sensor networks. His work addresses the challenge of coordinating autonomous mobile devices—such as robots and drones—to efficiently search for and respond to unknown, emergent events in real-world environments. Nii’s key contributions include developing dynamic multiple swarming algorithms that enable mobile sensing clusters to adapt their formation and spatial scale in noisy, unpredictable settings. His research on mobility control for searching indistinguishable multiple targets has advanced the autonomous deployment of sensor networks without prior knowledge of target locations. More recently, Nii has explored matrix factorization-based interpolation of received signal strength, contributing to reliable wireless communication in factory environments. His most cited work, "Dynamic Multiple Swarming for Mobile Sensing Cluster based on Swarm Intelligence" (2019, 8 citations), demonstrates the practical potential of bio-inspired coordination for IoT applications. With a growing portfolio of publications from 2019 to 2021, Nii is establishing himself as an emerging voice in swarm robotics and adaptive sensor systems, bridging theoretical swarm intelligence with tangible mobile sensing solutions.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Multiple Swarming for Mobile Sensing Cluster based on Swarm Intelligence
8 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Kansai University, Advanced Telecommunications Research Institute International

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago