Abstract
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.
Highlights
Cyber-physical systems (CPSs) have emerged as a promising research paradigm [1] which integrates computing, communication and control, that has become a new generation intelligent system
These methods can be mainly classified into four categories: wired monitoring, polling based on simple network-management protocol (SNMP), specialized applications on the wireless fidelity (Wi-Fi) device, and access point (AP) syslog
The target Wi-Fi networks we consider in this article are unencrypted or encrypted by Wi-Fi protected access or Wi-Fi protected access 2 in pre-shared key mode (WPA/WPA2-PSK), which are ubiquitously being deployed in airports, shopping malls, and cafes, etc
Summary
Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments. Yunjian Jia 1, *, Zhenyu Zhou 2, *, Fei Chen 1 , Peng Duan 1 , Zhen Guo 3 and Shahid Mumtaz 4. Received: 31 October 2016; Accepted: 21 December 2016; Published: 13 January 2017
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