Shih-Sung Lin

Papers

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About

Shih-Sung Lin is a researcher at the forefront of wireless communication and positioning systems, with a focus on enhancing precision and connectivity for industrial and IoT applications. His most cited work introduces a novel ZigBee indoor positioning scheme that leverages a signal-index-pair data preprocessing method combined with neural network training to significantly improve location fingerprinting accuracy. This foundational contribution, with 6 citations, addresses critical challenges in indoor localization by reducing signal noise and enhancing model reliability. Lin further extends his impact into the realm of Industry 4.0 with the design and development of a portable LoRa-based teleoperation controller, demonstrating his commitment to practical, low-power, long-range wireless solutions. This work, garnering 3 citations, showcases his ability to integrate emerging technologies like LoRa for real-time remote control, offering advantages over traditional WLANs in terms of mobility and deployment cost. Through these contributions, Lin has established himself as a key innovator in wireless teleoperation and indoor positioning, bridging the gap between theoretical algorithms and deployable systems for smart environments.