Zeqin Liao

Papers

Total Citations

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About

Zeqin Liao is a prominent researcher in the Industrial Internet of Things (IIoT), specializing in energy-efficient communication and intelligent resource management. His most-cited work, "Dynamic Collaborative Charging Algorithm for Mobile and Static Nodes in Industrial Internet of Things" (2021), addresses a critical energy bottleneck in data-intensive IIoT networks by introducing a novel algorithm that dynamically coordinates charging between mobile and static nodes. This contribution has garnered 15 citations, reflecting its practical significance in extending network lifespan and operational reliability. Liao’s research focuses on optimizing energy consumption, enhancing data transmission efficiency, and developing adaptive algorithms for complex industrial environments. His work is notable for bridging theoretical modeling with real-world deployment challenges, offering scalable solutions for smart factories and automated systems. By tackling the pressing issue of energy sustainability in IIoT, Liao has established himself as a key contributor to the field, with his findings informing both academic research and industrial applications. His achievements underscore a commitment to advancing the resilience and efficiency of next-generation wireless networks.