doi: 10.18178/ijfcc.2016.5.4.468
Device-Free Home Intruder Detection and Alarm System Using Wi-Fi Channel State Information
Mohammed Abdulaziz Aide Al-qaness
1
,
Fangmin Li
2
,
,
- 1 School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.
- 2 Department of Mathematics and Computer Science, Changsha University, Changsha, 410022, China.
- 3 School of Information Engineering, Wuhan University of Technology, China.
Abstract
In this paper, we design a device-free intruderdetection and alarm system, named WiGarde by exploitingoff-the-shelf Wi-Fi channel state information (CSI) to detect anintruder through door or window. WiGarde extracts the CSIamplitude information across MIMO antennas. Weimplemented WiGarde with commercial IEEE 802.11 NICs andevaluated its performance in two cluttered indoor environments.The system is robust and avoids false alarm occurrence, owingto our novel bad stream elimination algorithm. To extract thebest feature, we design a new method to intercept the segment ofthe signal of intrusion based on wavelet analysis and dynamictime window based on Short-time Energy. We adopt SupportVector Machine (SVM) algorithm to classify human intrusion;our SVM algorithm could classify intrusion process with generalwalking through the area of interest. We compare WiGardewith the previous approaches; results show that our systemoutperforms the corresponding best CSI-based and RSSI-basedin both of static and motion states. Our system gained highaccuracy of 94.5% in a dynamic environment for intrusionthrough door or window.
Keywords
- Intruder detection
- device-free
- CSI
- homesafety motion detection
- WiFi
How to Cite
Mohammed Abdulaziz Aide Al-qaness, Fangmin Li, Xiaolin Ma, and Guo Liu, "Device-Free Home Intruder Detection and Alarm System Using Wi-Fi Channel State Information," International Journal of Future Computer and Communication, vol. 5, no. 4, pp. 180-186, 2016. https://doi.org/ 10.18178/ijfcc.2016.5.4.468
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).