基于数据混淆的远程家庭环境监测与卫生保健监测系统设计

Yi Zhang, Peng Xiong, Yuan Luo, Lin Li
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引用次数: 7

摘要

基于ZigBee技术,构建了用于远程家庭环境监测和医疗监测的无线传感器网络,并对数据融合算法在前后端数据处理系统中的应用进行了深入探讨。实验证明,应用贝叶斯估计和模糊推理相结合的数据融合算法,可以有效降低无线传感器网络的网络信息冗余和网络时延。提高了数据的准确性和可靠性,提高了系统的网络寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of remote home environment monitoring and health care monitoring system based on data confusion
Base on the ZigBee technology, a wireless sensor networks for remote home environment monitoring and health care monitoring was built in this paper, and the applications of data fusion algorithms in system of front & back end data processing were deeply discussed. The experiment is proved that the applications of data fusion algorithm, which is a combination of Bayesian estimation and fuzzy reasoning, could effectively reduced the network information redundancy and Internet delay of wireless sensor networks. It is also improved the accuracy and reliability of data and the network lifetime of this system.
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