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首页> 外文期刊>Sensors Journal, IEEE >Throughput Analysis of BLE Sensor Network for Motion Tracking of Human Movements
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Throughput Analysis of BLE Sensor Network for Motion Tracking of Human Movements

机译:用于人体运动跟踪的BLE传感器网络的吞吐量分析

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In the world of smart cities, domotics, wearable sensors, and smart devices, an important role is played by the communication technology involved in the data transmission between nodes of the sensor network. Among a wide set of standard wireless technologies already available on the market, Bluetooth low energy (BLE) is becoming one of the most widespread and exploited. The aim of this paper is to propose a methodology for analyzing and characterizing throughput performance in general sensor network applications. In particular, we want to assess the effective BLE performance in order to investigate its possible usage in applications that require high throughput, such as body area network (BAN) for motion tracking of human movements, using magneto-inertial sensor units (M-IMUs). In addition to this, we have also studied how different nodes, with different hardware, software, and firmware, can affect the network performance. The results of this paper show how different typologies of nodes can be better exploited dependently on the specific application they are involved in. In fact, we define how to set up BLE parameters in order to push this technology to its limit. Finally, we address the specific case of using BLE as the wireless infrastructure of a BAN for human motion tracking: in this scenario, we show that BLE can be employed to successfully transmit M-IMU data from 5 peripheral nodes with a sampling frequency higher than 200 Hz.
机译:在智慧城市,住宅,可穿戴传感器和智能设备的世界中,涉及传感器网络节点之间数据传输的通信技术扮演着重要角色。在市场上已经可以使用的各种标准无线技术中,低功耗蓝牙(BLE)正在成为应用最广泛的技术之一。本文的目的是提出一种分析和表征一般传感器网络应用中吞吐量性能的方法。尤其是,我们要评估有效的BLE性能,以便研究其在要求高通量的应用中的可能用途,例如使用磁惯性传感器单元(M-IMU)跟踪人体运动的人体局域网(BAN) )。除此之外,我们还研究了具有不同硬件,软件和固件的不同节点如何影响网络性能。本文的结果显示了如何根据节点所涉及的特定应用更好地利用节点的不同类型。实际上,我们定义了如何设置BLE参数以将这项技术推向极限。最后,我们解决了使用BLE作为用于人体运动跟踪的BAN的无线基础架构的特定情况:在这种情况下,我们表明BLE可以被用来成功地从5个外围节点传输M-IMU数据,且采样频率高于200赫兹

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