Performance Study of Virtual Fence Unit Using Wireless Sensor Network

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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eISSN: 1178-5608

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VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

Performance Study of Virtual Fence Unit Using Wireless Sensor Network

H.T Chan / T.A Rahman / A. Arsad

Keywords : HB100; Octopus II; virtual fence unit; azimuth; height;indoor; outdoor; maximum sensing range

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-4, DOI: https://doi.org/10.21307/ijssis-2019-047

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020

ARTICLE

ABSTRACT

This paper presents the experiments and performance analysis of virtual fence unit consists of microwave motion detector and IEEE 802.15.4 wireless sensor network (WSN) for maximum sensing range. In particular, the analysis is focusing on the maximum sensing range in terms of azimuth angle, height, sensitivity level for indoor and outdoor implementation. The WSN platform is developed using Octopus II sensor nodes while the microwave motion detector is HB100 which detects the movement using Doppler effect.  Results show the maximum sensing range of virtual fence unit is decreasing as azimuth angle increasing. With high sensitivity level of virtual fence unit, the maximum sensing range of virtual fence unit is larger than the maximum sensing range of virtual fence unit at normal sensitivity level. Results also show the virtual fence unit has higher maximum sensing range in indoor environment than outdoor environment.

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REFERENCES

[1] Emad Felemban, “Advanced Border Intrusion Detection and SurveillanceUsing Wireless Sensor Network Technology, ” Int. J. Communications, Network and System Sciences, 2013, 6, 251-259.

[2] Prashant Kharat and Jayashree Kharat, “Wireless Intrusion Detection System Using Wireless Sensor Network: A Conceptual Framework,” International Journal of Electronics and Electrical Engineering Vol. 2, No. 2, June, 2014.

[3] HB100_Microwave_Sensor_Application_Note, http://www.limpkin.fr/public/HB100/HB100_Microwave_Sensor_Appli cation_Note.pdf

[4] Octopus II, SUREWIN Technology CO., Ltd.

[5] Robert L. Barnard, Intrusion Detection Systems, 2nd ed., pp.167-175.

[6] Vinay Negi, Sanjeev Kumar Shah, Sandeep Singh and Arun Shekhar. Equalization of Doppler Effect Using Constellation Diagram of 8-PSK Modulation. International Journal Of Computational Engineering Research (ijceronline.com). 2013. 3(3):203- 208.

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