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Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method

WiFi fingerprinting for indoor positioning is well known as one of the most efficient techniques to estimate indoor target location. This method requires a training phase to collect Receiving Signal Strength (RSS) samples that will be utilized in location estimation phase using matching algorithms....

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Main Authors: Mazlan, M.A.A.A., Khir, M.H.M., Saad, N.M., Dass, S.C.
Format: Article
Published: Research India Publications 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017310952&partnerID=40&md5=ceaabc7d321b5d29153a855549b0a1d2
http://eprints.utp.edu.my/19672/
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spelling my.utp.eprints.196722018-04-20T07:28:21Z Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method Mazlan, M.A.A.A. Khir, M.H.M. Saad, N.M. Dass, S.C. WiFi fingerprinting for indoor positioning is well known as one of the most efficient techniques to estimate indoor target location. This method requires a training phase to collect Receiving Signal Strength (RSS) samples that will be utilized in location estimation phase using matching algorithms. Recently, most commercially indoor positioning solutions used on smartphone utilizes the current building infrastructure to estimate personnel location where wireless router is used as an Access Point (AP) in each base station to extract the RSS values. However, for buildings with inadequate infrastructure setup, implementing multiple base stations using a single AP in each base station would require an exhaustive cost of manpower and time especially for a small scale positioning setup. There are also not enough distinct RSS values at each location covered by a single base station. Thus, WiFi fingerprinting using multiple APs with omnidirectional and directional antennas in a single base station employing a probabilistic approach has been proposed to minimize the infrastructure setup. Based on experimental results, the proposed multiple APs in a single base station was found to reduce the number of base stations required to achieve the same or better accuracy as existing approach using the same number of APs. Findings also demonstrated feasibility of using the proposed multiple APs in a single base station instead of single AP in a single base station at different locations in WiFi fingerprinting indoor positioning. © Research India Publications. Research India Publications 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017310952&partnerID=40&md5=ceaabc7d321b5d29153a855549b0a1d2 Mazlan, M.A.A.A. and Khir, M.H.M. and Saad, N.M. and Dass, S.C. (2017) Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method. International Journal of Applied Engineering Research, 12 (6). p. 1102. http://eprints.utp.edu.my/19672/
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 WiFi fingerprinting for indoor positioning is well known as one of the most efficient techniques to estimate indoor target location. This method requires a training phase to collect Receiving Signal Strength (RSS) samples that will be utilized in location estimation phase using matching algorithms. Recently, most commercially indoor positioning solutions used on smartphone utilizes the current building infrastructure to estimate personnel location where wireless router is used as an Access Point (AP) in each base station to extract the RSS values. However, for buildings with inadequate infrastructure setup, implementing multiple base stations using a single AP in each base station would require an exhaustive cost of manpower and time especially for a small scale positioning setup. There are also not enough distinct RSS values at each location covered by a single base station. Thus, WiFi fingerprinting using multiple APs with omnidirectional and directional antennas in a single base station employing a probabilistic approach has been proposed to minimize the infrastructure setup. Based on experimental results, the proposed multiple APs in a single base station was found to reduce the number of base stations required to achieve the same or better accuracy as existing approach using the same number of APs. Findings also demonstrated feasibility of using the proposed multiple APs in a single base station instead of single AP in a single base station at different locations in WiFi fingerprinting indoor positioning. © Research India Publications.
format Article
author Mazlan, M.A.A.A.
Khir, M.H.M.
Saad, N.M.
Dass, S.C.
spellingShingle Mazlan, M.A.A.A.
Khir, M.H.M.
Saad, N.M.
Dass, S.C.
Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method
author_facet Mazlan, M.A.A.A.
Khir, M.H.M.
Saad, N.M.
Dass, S.C.
author_sort Mazlan, M.A.A.A.
title Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method
title_short Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method
title_full Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method
title_fullStr Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method
title_full_unstemmed Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method
title_sort wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method
publisher Research India Publications
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017310952&partnerID=40&md5=ceaabc7d321b5d29153a855549b0a1d2
http://eprints.utp.edu.my/19672/
_version_ 1738656103278837760
score 13.211869

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