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基于Wi-Fi和ZigBee技术的人体区域网络的性能分析
引用本文:李晓歌,王辉.基于Wi-Fi和ZigBee技术的人体区域网络的性能分析[J].实验技术与管理,2019(9):49-52,81.
作者姓名:李晓歌  王辉
作者单位:河南牧业经济学院智能制造与自动化学院;河南省畜禽健康养殖与智能装备工程研究中心
基金项目:河南省科技攻关计划项目(172102210297)
摘    要:人体区域网络通过传感节点采集人体生理信号,再将生理信号传输至监控中心,实现对病人智能化监控。节点的通信协议对节点能耗有重要影响,针对低功耗的生理传感节点,分析它们引用Wi-Fi和ZigBee技术的能耗性能。首先,设计人体生理信号采集系统,然后分析节点在各阶段的能耗数据,进而分析使用Wi-Fi和ZigBee技术传输数据时的能耗性能。实验表明,在低速率环境下,ZigBee技术比Wi-Fi技术的能耗更低,寿命网络更长,但是在高速率时,Wi-Fi技术的能耗更低。

关 键 词:无线传感网  生理信号  WI-FI  ZIGBEE  能耗

Performance analysis on human regional network based on Wi-Fi and ZigBee technologies
LI Xiaoge,WANG Hui.Performance analysis on human regional network based on Wi-Fi and ZigBee technologies[J].Experimental Technology and Management,2019(9):49-52,81.
Authors:LI Xiaoge  WANG Hui
Institution:(College of Intelligent Manufacturing and Automation, Henan University of Animal Husbandry and Economy,Zhengzhou 450003, China;Henan Engineering Research Center on Animal Healthy Environment and Intelligent equipment, Zhengzhou 450003, China)
Abstract:Human regional network collects human physiological signals through sensor nodes, and then transmits the signals to the monitoring center to realize intelligent monitoring of patients. Node communication protocols have an important impact on node energy consumption. For low-power physiological sensor nodes, energy consumption performance of Wi-Fi and ZigBee technologies is analyzed. Firstly, a human physiological signal acquisition system is designed, and then the analysis on energy consumption data of nodes at different stages are carried out so as to analyze the energy consumption performance of data transmission by using Wi-Fi and ZigBee technologies. The experiment shows that ZigBee technology has lower energy consumption and longer lifetime network than Wi-Fi technology in low-speed environment, but lower energy consumption in high-speed environment.
Keywords:wireless sensor network  physiological signal  Wi-Fi  ZigBee  energy consumption
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