A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments
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-intr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-01-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/17/1/143 |
| _version_ | 1828279673519341568 |
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| author | Yunjian Jia Zhenyu Zhou Fei Chen Peng Duan Zhen Guo Shahid Mumtaz |
| author_facet | Yunjian Jia Zhenyu Zhou Fei Chen Peng Duan Zhen Guo Shahid Mumtaz |
| author_sort | Yunjian Jia |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T07:46:41Z |
| format | Article |
| id | doaj.art-3c897305dcf54f70b445ed13a511d132 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:46:41Z |
| publishDate | 2017-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3c897305dcf54f70b445ed13a511d1322022-12-22T02:55:39ZengMDPI AGSensors1424-82202017-01-0117114310.3390/s17010143s17010143A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field ExperimentsYunjian Jia0Zhenyu Zhou1Fei Chen2Peng Duan3Zhen Guo4Shahid Mumtaz5College of Communication Engineering, Chongqing University, Chongqing 400044, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaCollege of Communication Engineering, Chongqing University, Chongqing 400044, ChinaCollege of Communication Engineering, Chongqing University, Chongqing 400044, ChinaGuoxin Tendering Group Co., Ltd., Beijing 100044, ChinaInstituto de Telecomunicações, Campus Universitário de Santiago, Aveiro 3810-193, PortugalTracking 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.http://www.mdpi.com/1424-8220/17/1/143passive cyber physical social sensing (CPSS)wireless fidelity (Wi-Fi)people behavior trackingnon-intrusive |
| spellingShingle | Yunjian Jia Zhenyu Zhou Fei Chen Peng Duan Zhen Guo Shahid Mumtaz A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments Sensors passive cyber physical social sensing (CPSS) wireless fidelity (Wi-Fi) people behavior tracking non-intrusive |
| title | A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments |
| title_full | A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments |
| title_fullStr | A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments |
| title_full_unstemmed | A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments |
| title_short | A Non-Intrusive Cyber Physical Social Sensing Solution to People Behavior Tracking: Mechanism, Prototype, and Field Experiments |
| title_sort | non intrusive cyber physical social sensing solution to people behavior tracking mechanism prototype and field experiments |
| topic | passive cyber physical social sensing (CPSS) wireless fidelity (Wi-Fi) people behavior tracking non-intrusive |
| url | http://www.mdpi.com/1424-8220/17/1/143 |
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