A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments
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College of Communication Engineering, Chongqing University, Chongqing 400044, China
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School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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Guoxin Tendering Group Co., Ltd., Beijing 100044, China
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Instituto de Telecomunicações, Campus Universitário de Santiago, Aveiro 3810-193, Portugal
*
Authors to whom correspondence should be addressed.
Academic Editors: Mianxiong Dong, Zhi Liu, Anfeng Liu and Didier El Baz
Sensors 2017, 17(1), 143; https://doi.org/10.3390/s17010143
Received: 31 October 2016 / Revised: 21 December 2016 / Accepted: 21 December 2016 / Published: 13 January 2017
(This article belongs to the Special Issue New Paradigms in Cyber-Physical Social Sensing)
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.
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Keywords:
passive cyber physical social sensing (CPSS); wireless fidelity (Wi-Fi); people behavior tracking; non-intrusive
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MDPI and ACS Style
Jia, Y.; Zhou, Z.; Chen, F.; Duan, P.; Guo, Z.; Mumtaz, S. A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments. Sensors 2017, 17, 143.
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