Nakyoung Kim | Yonsei University (original) (raw)

Nakyoung Kim

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Papers by Nakyoung Kim

Research paper thumbnail of 6LoWPAN-SNMP: Simple Network Management Protocol for 6LoWPAN

Research paper thumbnail of Automated sensor-specific power management for wireless sensor networks

Power management of sensor nodes is essential to maximize the lifetime of wireless sensor network... more Power management of sensor nodes is essential to maximize the lifetime of wireless sensor networks. Energy consumption of individual sensor node differs greatly depending on its type. Existing operating systems for sensor networks typically leave the power management of sensors to applications. Unless specific features of the sensors and batteries are considered in the application design, energy consumption may increase or the application may malfunction. In this paper, we define factors to be considered for sensor-specific power management, and then propose an automated sensor-specific power management system. The system is implemented on the multi-threaded RETOS operating system for sensor networks. The experiment results with various applications show that the proposed system reduced the energy consumption by up to 29% without modification of the application code.

Research paper thumbnail of Micro Sensor Node for Air Pollutant Monitoring: Hardware and Software Issues

Research paper thumbnail of 6LoWPAN-SNMP: Simple Network Management Protocol for 6LoWPAN

Research paper thumbnail of Automated sensor-specific power management for wireless sensor networks

Power management of sensor nodes is essential to maximize the lifetime of wireless sensor network... more Power management of sensor nodes is essential to maximize the lifetime of wireless sensor networks. Energy consumption of individual sensor node differs greatly depending on its type. Existing operating systems for sensor networks typically leave the power management of sensors to applications. Unless specific features of the sensors and batteries are considered in the application design, energy consumption may increase or the application may malfunction. In this paper, we define factors to be considered for sensor-specific power management, and then propose an automated sensor-specific power management system. The system is implemented on the multi-threaded RETOS operating system for sensor networks. The experiment results with various applications show that the proposed system reduced the energy consumption by up to 29% without modification of the application code.

Research paper thumbnail of Micro Sensor Node for Air Pollutant Monitoring: Hardware and Software Issues

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