Design and implementation of power-aware LED light enabler with location-aware adaptive middleware and context-aware user pattern
Design and implementation of power-aware LED light enabler with location-aware adaptive middleware and context-aware user pattern
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DOI：
10.1109/tce.2010.5439150
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发表时间：
2010-02
影响因子：
4.3
通讯作者：
Y. Uhm;I. Hong;Gwanyeon Kim;Byoungjoo Lee;Sehyun Park
中科院分区：
文献类型：
--
作者：
Y. Uhm;I. Hong;Gwanyeon Kim;Byoungjoo Lee;Sehyun Park
普适技术的最新进展促进了可以提供预定义服务的位置感知和功率感知系统。最近的研究工作是基于待机功率降低的控制机制。传统的系统仅被设计用于降低消费电子产品的功率。然而，由于它们的架构限制，最近的系统在用于功率降低的LED光控制方面不灵活。我们需要考虑基于智能设备的高效自主功率控制和网络环境中的功率感知服务预测。在本文中，我们提出了一种具有光传感器，运动传感器和网络接口的功率感知LED灯使能器。LED灯使能器还使用智能电源网关与上下文感知中间件通信，该智能电源网关通过使用设备获得的感测数据分析用户生活模式来自适应地确定最佳功率控制。我们的功率感知LED灯启用器具有自适应中间件，可动态重新配置功率感知服务。所提出的自适应中间件促进了分析照明和用户活动的学习机制，并且仅当用户存在于设备周围时才控制LED灯。与真实的办公室测试平台上的基本照明系统相比，我们的使能器可将功耗降低高达58%。
Recent advances in ubiquitous technologies facilitate location-aware and power-aware systems that can provide predefined services. Recent research efforts are based on control mechanisms for standby power reduction. Conventional systems are only designed for power reduction of the consumer electronics. However, due to their architectural limitations, the recent systems are not flexible with respect to LED light control for power reduction. We need to consider efficient autonomous power control based on intelligent devices and the power-aware service prediction in networked environments. In this paper, we propose a power-aware LED light enabler with light sensors, motion sensors and network interfaces. The LED light enabler also communicates with context-aware middleware using an intelligent power gateway that adaptively determines the optimal power control by analyzing user living patterns using sensing data obtained by devices. Our power-aware LED light enabler with adaptive middleware dynamically reconfigures the power-aware services. The proposed adaptive middleware facilitates the learning mechanism which analyzes the illumination and the user activity, and controls the LED lights only when users exist around the devices. Our enabler reduces power consumption up to 58% in comparison to a basic lighting system at the real office testbed.