Ho Jeong Cha
Yonsei University · Computer Science
About the Lab
Professor Ho Jeong Cha's research lab specializes in embedded and wireless systems, with a focus on energy-efficient computing, sensor network operating systems, and seamless indoor-outdoor localization. The lab develops lightweight, resilient operating systems like RETOS for resource-constrained micro sensor nodes, emphasizing multithreading, dynamic kernel extensibility, and application-level isolation. It also explores infrastructure-less indoor localization and energy-aware networking protocols to enable robust, low-power mobile and IoT applications. The lab’s work bridges system software, networking, and real-world deployment challenges in pervasive and mobile computing environments.
Research Overview
Research Output Trend
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Selected Papers
15This paper presents the design principles, implementation, and evaluation of the RETOS operating system which is specifically developed for micro sensor nodes. RETOS has four distinct objectives, which are to provide (1) a multithreaded programming interface, (2) system resiliency, (3) kernel extensibility with dynamic reconfiguration, and (4) WSN-oriented network abstraction. RETOS is a multithreaded operating system, hence it provides the commonly used thread model of programming interface to
This paper presents the design principles, implementation, and evaluation of the RETOS operating system which is specifically developed for micro sensor nodes. RETOS has four distinct objectives, which are to provide (1) a multithreaded programming interface, (2) system resiliency, (3) kerel extensibility with dynamic reconfiguration, and (4) WSN-oriented network abstraction. RETOS is a multithreaded operating system, hence it provides the commonly used thread model of programming interface to d
Indoor localization systems typically locate users on their own local coordinates, while outdoor localization systems use global coordinates. To achieve seamless localization from outdoors to indoors, a handover technique that accurately provides a starting position to the indoor localization system is needed. However, existing schemes assume that a starting position is known a priori or uses a naïve approach to consider the last location obtained from GPS as the handover point. In this paper, w
Research Areas
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