Residential neighbourhood security using WiFi

Kain Hoe Tai; Vik Tor Goh; Timothy Tzen Vun Yap; Hu Ng

doi:10.1007/978-981-13-2622-6_43

Residential neighbourhood security using WiFi

Kain Hoe Tai, Vik Tor Goh^*, Timothy Tzen Vun Yap, Hu Ng

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper focuses on the design of a WiFi-based tracking and monitoring system that can detect people’s movements in a residential neighbourhood. The proposed system uses WiFi access points as scanners that detect signals transmitted by the WiFi-enabled smartphones that are carried by most people. Our proposed system is able to track these people as they move through the neighbourhood. We implement our WiFi-based tracking system in a prototype and demonstrate that it is able to detect all WiFi devices in the vicinity of the scanners. We describe the implementation details of our system as well as discuss some of the results that we obtained.

Original language	English
Title of host publication	Computational Science and Technology
Editors	Rayner Alfred, Ag Asri Ag Ibrahim, Yuto Lim, Patricia Anthony
Publisher	Springer
Pages	445-452
Number of pages	8
ISBN (Electronic)	9789811326226
ISBN (Print)	9789811326219
DOIs	https://doi.org/10.1007/978-981-13-2622-6_43
Publication status	Published - 2019
Event	5th International Conference on Computational Science and Technology 2018 - Kota Kinabalu, Malaysia Duration: 29 Aug 2018 → 30 Aug 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	481
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	5th International Conference on Computational Science and Technology 2018
Abbreviated title	ICCST 2018
Country/Territory	Malaysia
City	Kota Kinabalu
Period	29/08/18 → 30/08/18

Keywords

residential security
tracking and monitoring
WiFi

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-13-2622-6_43

Cite this

@inproceedings{5e30bb577312453ebfcc262370a8c389,

title = "Residential neighbourhood security using WiFi",

abstract = "This paper focuses on the design of a WiFi-based tracking and monitoring system that can detect people{\textquoteright}s movements in a residential neighbourhood. The proposed system uses WiFi access points as scanners that detect signals transmitted by the WiFi-enabled smartphones that are carried by most people. Our proposed system is able to track these people as they move through the neighbourhood. We implement our WiFi-based tracking system in a prototype and demonstrate that it is able to detect all WiFi devices in the vicinity of the scanners. We describe the implementation details of our system as well as discuss some of the results that we obtained.",

keywords = "residential security, tracking and monitoring, WiFi",

author = "Tai, {Kain Hoe} and Goh, {Vik Tor} and Yap, {Timothy Tzen Vun} and Hu Ng",

note = "Funding Information: cation, Malaysia, under the Fundamental Research Grant Scheme with grant number FRGS/1/2015/SG07/MMU/02/1, as well as the Multimedia University Capex Fund with Project ID MMUI/CAPEX170008, are gratefully acknowledged. Funding Information: Financial support from the Ministry of Higher Education, Malaysia, under the Fundamental Research Grant Scheme with grant number FRGS/1/2015/SG07/MMU/02/1, as well as the Multimedia University Capex Fund with Project ID MMUI/CAPEX170008, are gratefully acknowledged. Funding Information: Acknowledgements. Financial support from the Ministry of Higher Edu- Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 5th International Conference on Computational Science and Technology 2018, ICCST 2018 ; Conference date: 29-08-2018 Through 30-08-2018",

year = "2019",

doi = "10.1007/978-981-13-2622-6_43",

language = "English",

isbn = "9789811326219",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer",

pages = "445--452",

editor = "Rayner Alfred and Ibrahim, {Ag Asri Ag} and Yuto Lim and Patricia Anthony",

booktitle = "Computational Science and Technology",

address = "United States",

}

Tai, KH, Goh, VT, Yap, TTV & Ng, H 2019, Residential neighbourhood security using WiFi. in R Alfred, AAA Ibrahim, Y Lim & P Anthony (eds), Computational Science and Technology. Lecture Notes in Electrical Engineering, vol. 481, Springer, pp. 445-452, 5th International Conference on Computational Science and Technology 2018, Kota Kinabalu, Malaysia, 29/08/18. https://doi.org/10.1007/978-981-13-2622-6_43

Residential neighbourhood security using WiFi. / Tai, Kain Hoe; Goh, Vik Tor; Yap, Timothy Tzen Vun et al.
Computational Science and Technology. ed. / Rayner Alfred; Ag Asri Ag Ibrahim; Yuto Lim; Patricia Anthony. Springer, 2019. p. 445-452 (Lecture Notes in Electrical Engineering; Vol. 481).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Residential neighbourhood security using WiFi

AU - Tai, Kain Hoe

AU - Goh, Vik Tor

AU - Yap, Timothy Tzen Vun

AU - Ng, Hu

N1 - Funding Information: cation, Malaysia, under the Fundamental Research Grant Scheme with grant number FRGS/1/2015/SG07/MMU/02/1, as well as the Multimedia University Capex Fund with Project ID MMUI/CAPEX170008, are gratefully acknowledged. Funding Information: Financial support from the Ministry of Higher Education, Malaysia, under the Fundamental Research Grant Scheme with grant number FRGS/1/2015/SG07/MMU/02/1, as well as the Multimedia University Capex Fund with Project ID MMUI/CAPEX170008, are gratefully acknowledged. Funding Information: Acknowledgements. Financial support from the Ministry of Higher Edu- Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2019.

PY - 2019

Y1 - 2019

N2 - This paper focuses on the design of a WiFi-based tracking and monitoring system that can detect people’s movements in a residential neighbourhood. The proposed system uses WiFi access points as scanners that detect signals transmitted by the WiFi-enabled smartphones that are carried by most people. Our proposed system is able to track these people as they move through the neighbourhood. We implement our WiFi-based tracking system in a prototype and demonstrate that it is able to detect all WiFi devices in the vicinity of the scanners. We describe the implementation details of our system as well as discuss some of the results that we obtained.

AB - This paper focuses on the design of a WiFi-based tracking and monitoring system that can detect people’s movements in a residential neighbourhood. The proposed system uses WiFi access points as scanners that detect signals transmitted by the WiFi-enabled smartphones that are carried by most people. Our proposed system is able to track these people as they move through the neighbourhood. We implement our WiFi-based tracking system in a prototype and demonstrate that it is able to detect all WiFi devices in the vicinity of the scanners. We describe the implementation details of our system as well as discuss some of the results that we obtained.

KW - residential security

KW - tracking and monitoring

KW - WiFi

UR - http://www.scopus.com/inward/record.url?scp=85053248844&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-2622-6_43

DO - 10.1007/978-981-13-2622-6_43

M3 - Conference contribution

AN - SCOPUS:85053248844

SN - 9789811326219

T3 - Lecture Notes in Electrical Engineering

SP - 445

EP - 452

BT - Computational Science and Technology

A2 - Alfred, Rayner

A2 - Ibrahim, Ag Asri Ag

A2 - Lim, Yuto

A2 - Anthony, Patricia

PB - Springer

T2 - 5th International Conference on Computational Science and Technology 2018

Y2 - 29 August 2018 through 30 August 2018

ER -

Residential neighbourhood security using WiFi

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this