Chia‐Cheng Hsu

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Chia-Cheng Hsu is a researcher whose work sits at the intersection of intelligent optimization algorithms and Internet of Things (IoT) environmental monitoring. His most-cited paper, "IOT system environmental monitoring using IPSO weight factor estimation" (2013, 19 citations), introduces a significant contribution to swarm intelligence by proposing an improved Particle Swarm Optimization (IPSO) algorithm. Hsu’s key innovation lies in analyzing and redesigning the inertial weight factor—a critical parameter in PSO—using a non-linear decreasing strategy to enhance convergence and solution quality. He then applied this algorithm to real-world IoT systems, integrating ZigBee wireless sensor networks with TCP/IP to enable efficient, adaptive environmental data collection and estimation. This work demonstrates a practical bridge between theoretical optimization and embedded sensing systems, offering a scalable framework for smart monitoring applications. While his citation count is modest, the paper’s enduring relevance in IoT and metaheuristic research underscores its foundational value. Hsu’s research is particularly instructive for students exploring how algorithmic improvements can directly impact the performance of resource-constrained sensor networks, making his contributions a compelling case study in applied computational intelligence.