Mokhtari G, Zhang Q, Karunanithi M
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:5066-9. doi: 10.1109/EMBC.2015.7319530.
Bluetooth Low Energy (BLE) is a wireless communication technology which can be used to monitor human movements. In this monitoring system, a BLE signal scanner scans signal strength of BLE tags carried by people, to thus infer human movement patterns within its monitoring zone. However to the extent of our knowledge one main aspect of this monitoring system which has not yet been thoroughly investigated in literature is how to build a sound theoretical model, based on tunable BLE communication parameters such as scanning time interval and advertising time interval, to enable the study and design of effective and efficient movement monitoring systems. In this paper, we proposed and developed a statistical model based on Monte-Carlo simulation, which can be utilized to assess impacts of BLE technology parameters in terms of latency and efficiency, on a movement monitoring system, and can thus benefit a more efficient system design.
低功耗蓝牙（BLE）是一种可用于监测人体运动的无线通信技术。在这个监测系统中，一个BLE信号扫描仪扫描人们携带的BLE标签的信号强度，从而推断其监测区域内的人体运动模式。然而，据我们所知，该监测系统的一个主要方面在文献中尚未得到充分研究，即如何基于可调节的BLE通信参数（如扫描时间间隔和广播时间间隔）构建一个合理的理论模型，以实现对高效运动监测系统的研究和设计。在本文中，我们提出并开发了一种基于蒙特卡洛模拟的统计模型，该模型可用于评估BLE技术参数在延迟和效率方面对运动监测系统的影响，从而有助于更高效的系统设计。
