Zou Han, Jiang Hao, Luo Yiwen, Zhu Jianjie, Lu Xiaoxuan, Xie Lihua
School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798, Singapore.
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Sensors (Basel). 2016 Feb 22;16(2):268. doi: 10.3390/s16020268.
The location and contextual status (indoor or outdoor) is fundamental and critical information for upper-layer applications, such as activity recognition and location-based services (LBS) for individuals. In addition, optimizations of building management systems (BMS), such as the pre-cooling or heating process of the air-conditioning system according to the human traffic entering or exiting a building, can utilize the information, as well. The emerging mobile devices, which are equipped with various sensors, become a feasible and flexible platform to perform indoor-outdoor (IO) detection. However, power-hungry sensors, such as GPS and WiFi, should be used with caution due to the constrained battery storage on mobile device. We propose BlueDetect: an accurate, fast response and energy-efficient scheme for IO detection and seamless LBS running on the mobile device based on the emerging low-power iBeacon technology. By leveraging the on-broad Bluetooth module and our proposed algorithms, BlueDetect provides a precise IO detection service that can turn on/off on-board power-hungry sensors smartly and automatically, optimize their performances and reduce the power consumption of mobile devices simultaneously. Moreover, seamless positioning and navigation services can be realized by it, especially in a semi-outdoor environment, which cannot be achieved by GPS or an indoor positioning system (IPS) easily. We prototype BlueDetect on Android mobile devices and evaluate its performance comprehensively. The experimental results have validated the superiority of BlueDetect in terms of IO detection accuracy, localization accuracy and energy consumption.
位置及上下文状态(室内或室外)对于上层应用而言是至关重要的基础信息,比如针对个人的活动识别和基于位置的服务(LBS)。此外,建筑管理系统(BMS)的优化,例如根据进入或离开建筑物的人员流量对空调系统进行预冷或预热处理,也能够利用这些信息。配备了各种传感器的新兴移动设备成为了执行室内外(IO)检测的可行且灵活的平台。然而,诸如GPS和WiFi等耗电量大的传感器,由于移动设备上电池存储受限,使用时应谨慎。我们提出了BlueDetect:一种基于新兴的低功耗iBeacon技术,在移动设备上运行的用于IO检测和无缝LBS的准确、快速响应且节能的方案。通过利用板载蓝牙模块和我们提出的算法,BlueDetect提供了精确的IO检测服务,能够智能且自动地开启/关闭板载耗电量大的传感器,优化其性能并同时降低移动设备的功耗。此外,它还能实现无缝定位和导航服务,尤其是在半室外环境中,这是GPS或室内定位系统(IPS)难以轻易达成的。我们在安卓移动设备上对BlueDetect进行了原型设计并全面评估了其性能。实验结果验证了BlueDetect在IO检测精度、定位精度和能耗方面的优越性。