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http://dx.doi.org/10.5762/KAIS.2016.17.10.367

Efficient Scheduling of Sensor-based Elevator Systems in Smart Buildings  

Bahn, Hyokyung (Dept. of Computer Engineering, Ewha Womans University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.10, 2016 , pp. 367-372 More about this Journal
Abstract
In a modern smart building, sensors can detect various physical conditions, such as temperature, humidity, sound, motion, and light, which can be used in medical services and security, and for energy savings. This paper presents an efficient elevator scheduling system that utilizes smart sensor technologies with radio-frequency identification, video, and floor sensors to detect the arrival of elevator users in advance. The detected information is then delivered to the elevator scheduling system via building networks. By using this information, the proposed system makes a reservation call for efficient control of the elevator's direction and time. Experiments under a spectrum of traffic conditions show that the proposed system performs better than a legacy system with respect to average wait time, maximum wait time, and energy consumption.
Keywords
Elevator scheduling; Energy consumption; Sensor; Smart building; Smart living;
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