Papers
1
Total Citations
5
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About
Di Mu is a researcher at the forefront of wireless communication and Internet of Things (IoT) systems, with a focus on optimizing network performance in dynamic, resource-constrained environments. Her key research areas include radio technology selection, transmission power control, and robust optimization for IoT and robotics applications. In her most-cited work, "Robust Optimal Selection of Radio Type and Transmission Power for Internet of Things" (2019), Mu addresses a critical challenge: no single wireless technology can deliver optimal performance across diverse, changing conditions. She proposes a framework that dynamically selects the best radio type and transmission power to maximize reliability and efficiency. This contribution has garnered 5 citations and is foundational for adaptive IoT deployments. Mu’s work is particularly notable for bridging theoretical optimization with practical, real-world constraints, making her research highly relevant for engineers designing resilient, low-power networks. Her achievements reflect a deep commitment to advancing scalable, intelligent communication systems that underpin the next generation of connected devices.
Research Focus
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Top Papers
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