Xiaocui Li

China University of Geosciences (Beijing), Nanyang Institute of Technology

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About

Xiaocui Li is a researcher at the forefront of energy-efficient Internet of Things (IoT) systems, with a core focus on optimizing sensory data collection and transmission. Her work addresses the critical challenge of balancing high-performance data services with the stringent power constraints of IoT devices. Li’s major contributions lie in developing novel frameworks for data gathering, particularly through the integration of mobile edge computing and cloud service networks. Her most cited work, "Energy-efficient sensory data gathering in IoT networks with mobile edge computing" (2021, 5 citations), introduces a paradigm for offloading computation to the network edge to reduce device energy consumption. She further advanced this concept with "DaaS: Towards Energy-Efficient Data Collection Optimization for Data as a Service in IoT networks" (2022, 3 citations), which encapsulates sensory data functionality as a service, optimizing collection for social robot devices. Demonstrating a multidisciplinary approach, Li’s research also extends into bionics and computer vision, as seen in her work on "Recognition and Detection of Wide Field Bionic Compound Eye Target Based on Cloud Service Network" (2022, 2 citations). This cross-domain exploration highlights her ability to fuse robotics, vision, and cloud computing to solve complex sensing challenges, marking her as an innovative voice in sustainable IoT and smart device integration.