摘要
为了弥补某一区域人员密度传统检测方法的不足,同时更好地从该区域开启无线保真(Wi-Fi)的手机终端发送的嗅探(PR)帧中获取该区域的人员密度信息,提出一种基于Wi-Fi设备的区域人员密度检测概率模型.首先,通过实验获取常见手机品牌发送嗅探帧的平均时间间隔数据,为概率模型中参数的设置提供指导;其次,根据IEEE 802.11协议及Wi-Fi信道特点,建立Wi-Fi检测器的数学模型;最后,结合具体的环境,选取合理的参数,对检测器的检测概率进行仿真分析.理论分析和仿真结果表明,所建立的数学模型能较好地体现检测器对人员密度的检测情况.
To overcome the weakness of traditional detection approaches for regional staff density, and meanwhile obtain the regional staff density information better from Probe Request（ PR） frame sended from mobile phones with the enabled Wireless-Fidelity（ Wi-Fi）, a detection probability model of regional staff density based on Wi-Fi devices was proposed.Firstly, the average PR frame time intervals of common mobile phones were obtained by experiment, which could provide a guidance for setting some parameters of probability model. Secondly, according to the IEEE 802. 11 standard and Wi-Fi channel attributes, a Wi-Fi detector ’s mathematical model was built. Finally, reasonable values were assigned to these parameters on the basis of specific environment, and the detection probability of detector was simulated. The theoretical analysis and simulation results show that the proposed mathematical model can reflect the detection situations for staff density.
出处
《计算机应用》
CSCD
北大核心
2016年第6期1751-1756,共6页
journal of Computer Applications
