The proceedings compile rigorously peer-reviewed papers presented at the 4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT 2025), held from November 28-30, 2025. Showcasing cutting-edge advancements across interdisciplinary domains, the proceedings feature original research, innovative applications, and technical breakthroughs in emerging sensing technologies, precision measurement methodologies, next-generation communication architectures, and IoT systems integration. This volume, specifically designed for researchers and engineers, serves as a catalyst for knowledge sharing, collaborative problem-solving, and cross-sector innovation. In addition to supporting curriculum development in IoT-related disciplines, it provides industry professionals with actionable strategies to navigate technological transformation in an era of ubiquitous connectivity.

Gives exclusive access to the latest research and industry trends in sensing, communication, and IoT technologies Provides valuable and cutting-edge insights for researchers and practitioners in these domains Promotes interdisciplinary dialogue and bridge gaps between sensing, measurement, communication, and IoT technologies

Autorentext

Zhenyu Zhao received the B.Eng. degree in electrical engineering from Huazhong University of Science and Technology, China, in 2015, and the Ph.D. degree in electrical engineering from Nanyang Technological University, Singapore, in 2021. He is currently a Lecturer with the ECE Department at the National University of Singapore. He is also a PI for several research projects funded by government and industry. His research interests include electromagnetic compatibility (EMC) and security, condition monitoring in transportation systems, advanced measurement techniques for electrical parameters, electromagnetic-based sensing and monitoring, AI applications in these fields, etc. He has published one book and over 100 peer-reviewed papers.

Peiquan Jin is an associate professor in the School of Computer Science and Technology at the University of Science and Technology of China (USTC). He received his Ph.D. degree in computer science from the University of Science and Technology of China (USTC) in 2003. After that, he spent two years for his post-doc research in the Department of Electronic Engineering & Information Science at USTC. He was a visiting scientist in 2009 at the University of Kaiserslautern, Germany, hosted by Prof. Theo Härder. In 2014, he was a visiting professor at Aalborg University, Denmark, working with Prof. Christian S. Jensen.

Mingchuan Zhang was born in Henan Province, PRC in May 1977. Mingchuan Zhang studied in Beijing University of Posts and Telecommunications (Beijing, PRC) from September 2011 to July 2014, majored in Communication and information system and earned a Doctor of Engineering Degree in three years' time. He works as a Professor in the School of Information Engineering, Henan University of Science and Technology. His research interests include bio-inspired networks, machine learning, future Internet and optimization. He is a Member of IEEE.

Inhalt

1. CLEANtech: Design of an Autonomous Indoor Floor Cleaning Robot.- 2. Research on Frequency Domain Electromagnetic Inversion Method Based on Damping Least Squares.- 3. An Analysis and Regulating Method for Peak Shaving Control System of Wind Turbines.- 4. SAR Image Change Detection Based on Weighted Center-Constrained Fuzzy C-Means Clustering.- 5. Research on Low-frequency Compensation of Amplitude-frequency Characteristics of Vibration Sensors.