基于Wi-Fi设备的区域人员密度检测概率研究

doi:10.11772/j.issn.1001-9081.2016.06.1751

计算机应用 ›› 2016, Vol. 36 ›› Issue (6): 1751-1756.DOI: 10.11772/j.issn.1001-9081.2016.06.1751

基于Wi-Fi设备的区域人员密度检测概率研究

赵飞飞^1,2, 金彦亮¹, 熊勇²

1. 上海大学通信与信息工程学院, 上海 200444;
2. 无线传感网与通信重点实验室(中国科学院上海微系统与信息技术研究所), 上海 200050

收稿日期:2015-11-17 修回日期:2016-02-22 出版日期:2016-06-10 发布日期:2016-06-08
通讯作者: 熊勇
作者简介:赵飞飞(1987-),男,安徽阜阳人,硕士研究生,主要研究方向:智能交通;金彦亮(1973-),男,河北邯郸人,副教授,博士,主要研究方向:无线传感器网络;熊勇(1973-),男,江西赣州人,研究员,博士,主要研究方向:移动通信、智能交通、智能家居。

Detection probability research of regional staff density based on Wi-Fi devices

ZHAO Feifei^1,2, JIN Yanliang¹, XIONG Yong²

1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China;
2. Key Laboratory of Wireless Sensor Network and Communication(Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences), Shanghai 200050, China

Received:2015-11-17 Revised:2016-02-22 Online:2016-06-10 Published:2016-06-08

摘要/Abstract

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。

关键词: 人员密度, Wi-Fi, 检测概率, 嗅探帧, IEEE 802.11

Abstract: 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.

Key words: staff density, Wi-Fi, detection probability, Probe Request (PR) frame, IEEE 802.11

中图分类号:

TP399

赵飞飞, 金彦亮, 熊勇. 基于Wi-Fi设备的区域人员密度检测概率研究[J]. 计算机应用, 2016, 36(6): 1751-1756.

ZHAO Feifei, JIN Yanliang, XIONG Yong. Detection probability research of regional staff density based on Wi-Fi devices[J]. Journal of Computer Applications, 2016, 36(6): 1751-1756.

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基于Wi-Fi设备的区域人员密度检测概率研究

Detection probability research of regional staff density based on Wi-Fi devices

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