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Optimizing ZigBee for data streaming in body-area bio-feedback applications

机译:优化ZigBee在体积区域生物反馈应用中的数据流

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Wireless Body-area Sensor Networks (WBSN) are a key component of e-Health solutions. Many different physiological parameters can be monitored and collected continuously by wearable wireless sensors with high accuracy, low power consumption and limited cost. In this work we focus on WBSN for real-time biofeedback applications. In this domain the real-time nature of I/O data streams is of critical importance for providing an useful and efficient sensorial feedback for the user while system lifetime should be maximized. Thus, bandwidth, throughput and energy efficiency of the communication protocol must be carefully optimized. The research community is still divided on the choice of the protocol to use (proprietary, ZigBee, Bluetooth). In this article we investigate how ZigBee meets WBSN requirements showing a higher communication efficiency and lower power consumption, with respect to Bluetooth Serial Port Profile, (SPP) based solution.
机译:无线机身传感器网络(WBSN)是电子健康解决方案的关键组件。可以通过高精度,低功耗和成本有限的可穿戴无线传感器连续监测和收集许多不同的生理参数。在这项工作中,我们专注于WBSN进行实时生物反馈应用程序。在该域中,I / O数据流的实时性质对于为用户提供有用和高效的感觉反馈,对于系统生存期来说应该最大化。因此,必须仔细优化通信协议的带宽,吞吐量和能量效率。研究界仍然分为选择使用(专有,ZigBee,蓝牙)的协议。在本文中,我们研究了Zigbee如何满足WBSN要求,了解蓝牙串行端口配置文件(基于SPP)的解决方案,显示了较高的通信效率和较低功耗。

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