用于实时数据采集和控制的高数据速率、多节点无线个人区域传感器网络

Qisong Wang, Xin Chai, Y. Wang, Dan Liu, Ming Chen, Yong Li, Xin Liu, Ou Bai
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引用次数: 5

摘要

传统的无线个人区域传感器网络在数据通信速率较低的情况下,从少量传感器节点获取生理信号。一些临床应用,如步态控制和姿势分析,可能需要在更快的数据通信速度下实时或至少接近实时地访问来自全身大量传感器节点的生理信号。这种临床需求对具有大容量传感器节点的高通量无线身体区域传感器网络的设计提出了新的挑战。本文介绍了一种基于最先进的单芯片微控制器技术的高吞吐量、多节点无线传感器网络平台的设计,该平台具有内置Wi-Fi连接。实验测试表明,所开发的无线传感器网络平台能够在高数据采样率(>500Hz)下近乎实时地支持多节点传感器(10-20)并发访问,且丢包率极低(<1%)。设计的平台可以作为低功耗、低通信速率技术支持的无线传感器网络的替代解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high data rate, multi-nodes wireless personal-area sensor network for real-time data acquisition and control
Traditional wireless personal-area sensor network accesses physiological signals from a small number of sensor nodes under a low data communication rate. Some clinical applications, e.g. gait control and posture analysis, may need to access physiological signals from a large number of sensor nodes across body under a faster data communication speed in real-time or at least near real-time. This clinical need introduces a new challenge in the design of high-throughput wireless bodyarea sensor networks with a large capacity of sensor nodes. This paper describes the design of a high-throughput, multi-nodes wireless sensor network platform based on the state-of-the-art single-chip microcontroller unit technology with built-in Wi-Fi connectivity. Experimental test demonstrated that the developed wireless sensor network platform was able to support multi-nodes sensor access (10–20) concurrently under a high data sampling rate (>500Hz) in near real-time with a very low packet lost rate (<1%). The designed platform may serve as an alternative solution complement to those wireless sensor networks enabled by the low-power, low-communication rate technology.
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