Publication:
Method for RSSI Heat Map Estimation using Radial Basis Functions for Fingerprinting Localization

cris.author.scopus-author-id 57214093248
cris.author.scopus-author-id 57539274800
cris.author.scopus-author-id 57192974774
cris.author.scopus-author-id 36560557700
cris.author.scopus-author-id 57201669864
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 55696b76-cbcc-4e05-b748-063354904d66
cris.virtualsource.department 0a657b50-c6c1-403e-ac43-c1c3eed50be2
cris.virtualsource.department db7b85b7-3dd9-408d-9d57-03e40dcbf1c9
dc.contributor.author Wye K.F.P.
dc.contributor.author Syed Muhammad Mamduh Syed Zakaria
dc.contributor.author Latifah Munirah Kamarudin
dc.contributor.author Ammar Zakaria
dc.contributor.author Ahmad N.
dc.date.accessioned 2024-09-27T01:08:55Z
dc.date.available 2024-09-27T01:08:55Z
dc.date.issued 2021-12-01
dc.description.abstract Radio Frequency (RF) based indoor localization is a challenging task due to the dynamic and multipath factors although many research proposed different improvement strategies in their indoor localization works. This paper discusses an alternative method for RF-based mapping estimation for Received Signal Strength Indicator (RSSI) fingerprinting indoor localization. The RSSI fingerprinting mappings are estimated by different Radial Basis Function (RBF) interpolation methods. The RBF interpolation methods may reduce the number of fingerprint locations required for fingerprinting localization. The predicted RSSI and actual RSSI radio mappings are compared to determine the accuracy of each RBF. The best mean error of 2.008dBm in Inverse Multiquadric RBF is achieved between the actual and predicted mappings in a complex laboratory environment. The RF-based mapping estimation techniques presented in this paper have shown that the effectiveness to fulfil the perquisite of fingerprinting localization with lower time and labour requirement.
dc.identifier.scopus 2-s2.0-85126127140
dc.identifier.uri https://hdl.handle.net/20.500.14170/3907
dc.relation.funding Ministry of Higher Education, Malaysia
dc.relation.grantno FRGS/1/2020/TK0/UNIMAP/02/14
dc.relation.ispartof International Journal of Nanoelectronics and Materials
dc.relation.ispartofseries International Journal of Nanoelectronics and Materials
dc.relation.issn 19855761
dc.subject Fingerprinting Localization | Radial Basis Functions | Received Signal Strength Indicator
dc.title Method for RSSI Heat Map Estimation using Radial Basis Functions for Fingerprinting Localization
dc.type Journal
dspace.entity.type Publication
oaire.citation.endPage 125
oaire.citation.issue Special Issue InCAPE
oaire.citation.startPage 117
oaire.citation.volume 14
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
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person.identifier.scopus-author-id 57214093248
person.identifier.scopus-author-id 57539274800
person.identifier.scopus-author-id 57192974774
person.identifier.scopus-author-id 36560557700
person.identifier.scopus-author-id 57201669864
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