Energy Efficient Learning-Based Indoor Multi-Band WLAN for Smart Buildings
Energy Efficient Learning-Based Indoor Multi-Band WLAN for Smart Buildings
复制标题
DOI：
10.1109/access.2018.2849094
复制
发表时间：
2018
期刊：
影响因子：
3.9
通讯作者：
Xiaoyan Wang;M. Umehira;Hiroyuki Otsu;Takyuya Kawatani;S. Takeda
中科院分区：
文献类型：
--
作者：
Xiaoyan Wang;M. Umehira;Hiroyuki Otsu;Takyuya Kawatani;S. Takeda
宽带互联网接入在建筑物已经从根本上改变了我们生活的几乎每一个方面。随着室内便携式系统和设备的使用越来越多，节省其能源消耗成为智能建筑的一个有趣而重要的问题。最近，2.4/5-GHz和60-GHz频带共存的多频带WLAN是提供超高速和鲁棒的无线连接的有前途的解决方案。对于多频带WLAN终端设备，以能量有效的方式检测可用服务区域是非常重要的。在现有的系统中，设备的RF单元需要一直打开并保持监听，这导致大量的能量消耗开销。针对这一问题，提出了一种基于学习的节能室内多频段WLAN系统，终端设备通过学习建筑物内反射波的影响来预测不同的服务区域。我们已经在不同的室内环境中进行了广泛的实验，评估结果表明，所提出的机制可以大大提高性能相比，现有的方法。
Broadband Internet access in the building has fundamentally changed almost every aspect of our lives. As the growing use of indoor portable systems and devices, saving their energy consumption becomes an interesting and important issue for smart buildings. Recently, multi-band WLAN where 2.4/5-GHz and 60-GHz bands coexist is a promising solution to offer both ultra-high speed and robust wireless connections. For a multi-band WLAN end device, detecting the available service areas in an energy efficient way is of great importance. In the existing systems, the RF units of device need to be turned on and kept listening all the time, which leads to substantial energy consumption overhead. To solve this problem, this paper proposes an energy efficient learning-based indoor multi-band WLAN system, in which the end device predicts the distinct service areas by learning the influences of reflected waves in buildings. We have performed extensive experiments in different indoor environments, and the evaluation results demonstrate that the proposed mechanism could substantially improve the performance compared with the existing approaches.