用于远程运行状况监视的混合平台:从概念到部署

2015 7th International Conference on New Technologies, Mobility and Security (NTMS) Pub Date : 2015-07-27 DOI:10.1109/NTMS.2015.7266472

K. Heurtefeux, Nasreen Mohsin, H. Menouar

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引用次数: 0

摘要

本文介绍了一个由多个可穿戴身体区域网络(BAN)组成的平台与无线网状网络连接的实验结果。该平台通过太阳能和多跳网状网络收集、处理和无线传输来自多个可穿戴BAN的医疗数据到医疗控制中心(MCC)。这个概念验证平台包含几个创新。在BAN中，动态TDMA MAC层已经在802.15.4物理层以及2个轻量级协议上实现。为了减少传感器发送的数据包数量和网关发送的数据包大小，分别使用了基于相似性的滤波器和多项式插值技术。在太阳能网状网络中，实现了机器学习算法来预测电池耗尽并确保服务的连续性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An hybrid platform for remote health monitoring: From concept to deployment

This paper presents experimental results from a platform consisting of multiple wearable body area networks (BAN) connected to a wireless mesh network. The proposed platform collects, processes and wirelessly transmits medical data from multiple wearable BAN to a medical control center (MCC) through a solar-powered and multi-hop mesh network. This proof-of-concept platform encompasses several innovations. In the BAN, a dynamic TDMA MAC layer has been implemented over a 802.15.4 physical layer as well as 2 lightweight protocols. To reduce the number of packet sent by sensors and the size of packet sent by the gateway, a similarity-based filter and a polynomial interpolation technique respectively are used. In the solar-powered mesh network, a machine learning algorithm has been implemented to predict battery depletion and ensure continuity of service.

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2015 7th International Conference on New Technologies, Mobility and Security (NTMS)

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