Robust security system for intruder detection and its weight estimation in controlled environment using Wi-Fi

Muhammad Usman Younus, Yong Li, Muhammad Shahbaz, Rabia Shafi, Hongkun He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Nowadays, people are facing from issues of security, not only about their own but also worried about their things. To solve this issue, our system proposes an effective and low-cost solution for intruder's detection. A Diverse range of technologies like sonar, radar, Doppler, unattended ground sensors (UGS) and some wireless devices are available to solve this issue but cost and implementation complexity make them unfeasible. This paper propose an innovative solution based on Wi-Fi to detect the presence of intruders with the help of electromagnetic perturbation caused by changing in Wi-Fi received signal strength(RSS) which is trigged due to the motion between transmitter and receiver. The study also focuses on Intruder person body weight. Intruder person weight and its motion pattern were approximated by establishing a controlled environment. The proposed solution has high feasibility and is reliable and inexpensive.

Original languageEnglish
Title of host publication2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages985-990
Number of pages6
ISBN (Electronic)9781467390262
DOIs
StatePublished - 10 May 2017
Event2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Chengdu, China
Duration: 14 Oct 201617 Oct 2016

Publication series

Name2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings

Conference

Conference2nd IEEE International Conference on Computer and Communications, ICCC 2016
Country/TerritoryChina
CityChengdu
Period14/10/1617/10/16

Keywords

  • Intruder Detection
  • Omi-directional
  • Received Signal Strength
  • Security
  • Sensors
  • Wireless

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