| Sensors | 卷:17 |
| A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments | |
| Peng Duan1  Fei Chen1  Yunjian Jia1  Zhen Guo2  Shahid Mumtaz3  Zhenyu Zhou4  | |
| [1] College of Communication Engineering, Chongqing University, Chongqing 400044, China; | |
| [2] Guoxin Tendering Group Co., Ltd., Beijing 100044, China; | |
| [3] Instituto de Telecomunicações, Campus Universitário de Santiago, Aveiro 3810-193, Portugal; | |
| [4] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China; | |
| 关键词: passive cyber physical social sensing (CPSS); wireless fidelity (Wi-Fi); people behavior tracking; non-intrusive; | |
| DOI : 10.3390/s17010143 | |
| 来源: DOAJ | |
【 摘 要 】
Tracking people’s behaviors is a main category of cyber physical social sensing (CPSS)-related people-centric applications. Most tracking methods utilize camera networks or sensors built into mobile devices such as global positioning system (GPS) and Bluetooth. In this article, we propose a non-intrusive wireless fidelity (Wi-Fi)-based tracking method. To show the feasibility, we target tracking people’s access behaviors in Wi-Fi networks, which has drawn a lot of interest from the academy and industry recently. Existing methods used for acquiring access traces either provide very limited visibility into media access control (MAC)-level transmission dynamics or sometimes are inflexible and costly. In this article, we present a passive CPSS system operating in a non-intrusive, flexible, and simplified manner to overcome above limitations. We have implemented the prototype on the off-the-shelf personal computer, and performed real-world deployment experiments. The experimental results show that the method is feasible, and people’s access behaviors can be correctly tracked within a one-second delay.
【 授权许可】
Unknown