Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System

Device-free indoor localization (DFIL) system can locate the position of human body in the indoor environment by observing the changes in the received signal strength indicator (RSSI) of the wireless local area network (WLAN). The accuracy of a DFIL system is depreciated, as the change in the indoor...

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Main Authors: Pirzada, N., Nayan, M.Y., Subhan, F., Abro, A., Hassan, M.F., Sakidin, H.
Format: Article
Published: Springer New York LLC 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006377750&doi=10.1007%2fs11277-016-3902-8&partnerID=40&md5=6d86b7fc2bab4f9c0cf19c4211746ee7
http://eprints.utp.edu.my/19456/
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spelling my.utp.eprints.194562018-04-20T05:58:12Z Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System Pirzada, N. Nayan, M.Y. Subhan, F. Abro, A. Hassan, M.F. Sakidin, H. Device-free indoor localization (DFIL) system can locate the position of human body in the indoor environment by observing the changes in the received signal strength indicator (RSSI) of the wireless local area network (WLAN). The accuracy of a DFIL system is depreciated, as the change in the indoor environment due to furniture and other infrastructure movement. This paper investigates the development of testbed of the WLAN network for measuring the RSSI in various indoor environment, as the initial step for designing the fingerprinting-based algorithms for WLAN network. The database of RSSI fingerprint is created initially and then a fingerprint-based algorithm is developed for locating the position of a human body in the indoor environment. The localization algorithm tests the minimum distance in the RSSI values related to the different test points in the indoor environment. This work further demonstrates that how the fingerprints of RSSI are collected and which network configurations generate the most reliable RSSI measurement. For the first phase of designing the testbed, the configurations of different equipment and various tools are elaborated in the indoor environment. For the second phase the RSSI is measured in different propagation indoor environment. The extensive experiments were performed that allow quantification of how changes in an environment affect accuracy. Thus, it is demonstrated that each link offers a viable approach to developing a more robust system for device-free localization that is less susceptible to changes in the environment. © 2016, Springer Science+Business Media New York. Springer New York LLC 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006377750&doi=10.1007%2fs11277-016-3902-8&partnerID=40&md5=6d86b7fc2bab4f9c0cf19c4211746ee7 Pirzada, N. and Nayan, M.Y. and Subhan, F. and Abro, A. and Hassan, M.F. and Sakidin, H. (2017) Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System. Wireless Personal Communications, 95 (2). pp. 445-455. http://eprints.utp.edu.my/19456/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Device-free indoor localization (DFIL) system can locate the position of human body in the indoor environment by observing the changes in the received signal strength indicator (RSSI) of the wireless local area network (WLAN). The accuracy of a DFIL system is depreciated, as the change in the indoor environment due to furniture and other infrastructure movement. This paper investigates the development of testbed of the WLAN network for measuring the RSSI in various indoor environment, as the initial step for designing the fingerprinting-based algorithms for WLAN network. The database of RSSI fingerprint is created initially and then a fingerprint-based algorithm is developed for locating the position of a human body in the indoor environment. The localization algorithm tests the minimum distance in the RSSI values related to the different test points in the indoor environment. This work further demonstrates that how the fingerprints of RSSI are collected and which network configurations generate the most reliable RSSI measurement. For the first phase of designing the testbed, the configurations of different equipment and various tools are elaborated in the indoor environment. For the second phase the RSSI is measured in different propagation indoor environment. The extensive experiments were performed that allow quantification of how changes in an environment affect accuracy. Thus, it is demonstrated that each link offers a viable approach to developing a more robust system for device-free localization that is less susceptible to changes in the environment. © 2016, Springer Science+Business Media New York.
format Article
author Pirzada, N.
Nayan, M.Y.
Subhan, F.
Abro, A.
Hassan, M.F.
Sakidin, H.
spellingShingle Pirzada, N.
Nayan, M.Y.
Subhan, F.
Abro, A.
Hassan, M.F.
Sakidin, H.
Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System
author_facet Pirzada, N.
Nayan, M.Y.
Subhan, F.
Abro, A.
Hassan, M.F.
Sakidin, H.
author_sort Pirzada, N.
title Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System
title_short Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System
title_full Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System
title_fullStr Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System
title_full_unstemmed Location Fingerprinting Technique for WLAN Device-Free Indoor Localization System
title_sort location fingerprinting technique for wlan device-free indoor localization system
publisher Springer New York LLC
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006377750&doi=10.1007%2fs11277-016-3902-8&partnerID=40&md5=6d86b7fc2bab4f9c0cf19c4211746ee7
http://eprints.utp.edu.my/19456/
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score 13.160551