Makoto Ikeda
Papers
1
Total Citations
6
H-Index
1
About
Makoto Ikeda is a leading researcher in the fields of wireless sensor and actor networks (WSANs), fuzzy logic systems, and intelligent network testbeds. His work focuses on enhancing the performance and reliability of distributed sensor systems, particularly through the integration of smart devices and robotics. One of his major contributions is the development of fuzzy-based selection systems for actor nodes in WSANs, as demonstrated in his highly cited 2019 paper, which implements two novel fuzzy systems and a dedicated testbed. This research addresses the critical challenge of efficiently coordinating static sensors with mobile actors, such as robots, to improve network responsiveness and data collection. With over 6 citations for this key work, Ikeda’s research has provided practical frameworks for real-world WSAN deployments. His notable achievements include the design and implementation of testbed environments that validate theoretical models, bridging the gap between simulation and practical application. Ikeda’s work is essential for students and researchers exploring adaptive, intelligent networking solutions in the Internet of Things and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
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