Performance Comparison Between Fingerprinting-based RSS Indoor Localization Techniques at WLAN Frequencies: Simulation Study

Authors

  • Huthaifa Obeidat Faculty of Engineering Jadara University, Irbid, Jordan
  • Eyad Alzuraiqi Hijjawi Faculty for Engineering Technology Yarmouk University, Irbid, Jordan
  • Issam Trrad Faculty of Engineering Jadara University, Irbid, Jordan https://orcid.org/0000-0002-9894-8363
  • Nouh Alhindawi Faculty of Sciences and Information Jadara University, Irbid, Jordan, Ira A. Fulton Schools of Engineering, School of Computing and Augmenting Intelligence (SCAI) Arizona State University, Arizona, USA https://orcid.org/0000-0003-2735-2631
  • Mohammad R. Rawashdeh Hijjawi Faculty for Engineering Technology Yarmouk University, Irbid, Jordan

DOI:

https://doi.org/10.13052/2024.ACES.J.391208

Keywords:

Indoor localization, received signal strength (RSS), Wireless InSite, wireless local-area network (WLAN)

Abstract

This paper presents a performance comparison between two fingerprinting-based received signal strength (RSS) indoor localization techniques at wireless local-area network (WLAN) frequencies: 2.4 GHz and 5.8 GHz. The investigated algorithms include the comparative RSS (CRSS) and vector algorithms. The study was conducted using Wireless InSite ray-tracer software. The simulation was conducted in a simulated environment on the 3rd floor of the Chesham Building, University of Bradford, UK. Also, we presented an estimator which looks at the correlation between the test point RSS and the reference point RSS. The estimator performance is compared to the root mean square error (RMSE) performance. It was found that the CRSS algorithm suffers from the similarity problem while constructing the radio map, and it also suffers from ambiguity problems during localization. The vector algorithm outperforms CRSS algorithms in both frequencies and does not suffer from similarity or ambiguity problems. The proposed estimator shows better performance at both frequencies.

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Author Biographies

Huthaifa Obeidat, Faculty of Engineering Jadara University, Irbid, Jordan

Huthaifa Obeidat is Associate Professor in Communication and Computer Engineering department at Jadara University in Jordan. He received a Ph.D. in Electrical Engineering from the University of Bradford, UK. In 2018, he was awarded an MSc degree in Personal Mobile and Satellite Communication from the same University in 2013. He was awarded the best paper presentation at the 7th International Conference on Internet Technologies and Application (ITA2017). His research interests include Radiowave Propagation, mm wave propagation, e-health applications, and Antenna and Location-Based Services. Obeidat has been an URSI senior member since 2022 and a member of the Jordanian engineering association since 2011.

Eyad Alzuraiqi, Hijjawi Faculty for Engineering Technology Yarmouk University, Irbid, Jordan

Eyad Alzuraiqi obtained his Ph.D. in Electrical Engineering from University of New Mexico, USA, in 2012. He joined Yarmouk University, Jordan, as a faculty member. Currently, he is a research associate professor at University of New Mexico, USA. His research interests include Applied and Computational Electromagnetics, Antennas, Neural Networks, and Communications Systems.

Issam Trrad, Faculty of Engineering Jadara University, Irbid, Jordan

Issam Trrad received his bachelor’s and master’s degrees in electrical & communication engineering at the Ukraine National Academy, Ukraine, in 1999, with high honors GPA. He received his Ph.D. degree in Electrical & Communication Engineering at the Odessa National Academy of Communication, Odessa, Ukraine, in 2003. Currently, he is an Associate Professor in the Department of Electrical and Commuter Engineering at Jadara University. He was Dean of the College of Engineering. He has been a member of the Jordan Engineers Association (JEA) since 2000.

Nouh Alhindawi, Faculty of Sciences and Information Jadara University, Irbid, Jordan, Ira A. Fulton Schools of Engineering, School of Computing and Augmenting Intelligence (SCAI) Arizona State University, Arizona, USA

Nouh Alhindawiis an Associate Professor in the field of Software Engineering and Computer Science. Currently, he is an Associate Teaching Professor, Ira A. Fulton Schools of Engineering, School of Computing and Augmenting Intelligence (SCAI), at Arizona State University, USA. Before that, he served as Assistant to the President of Jadara University for Digital Transformation and E-Learning. He brings a wealth of expertise to his role. Notably, he held the esteemed position of Director of Information Technology and Electronic Transformation Directorate at the Ministry of Higher Education and Scientific Research in Jordan (MoHESR) from 2018 to 2022. Alhindawi served as the Director for the Computer Center at Jadara University from 2015 to 2018. Additionally, he has held various faculty positions and acted as the University Advisor for Jadara University in matters pertaining to Digital Transformation Policies. Alhindawi completed his doctoral studies in Computer Science / Software Engineering at Kent State University, USA, in 2013. He holds a master’s degree from Al-Balqa Applied University, Jordan, obtained in 2006, and a bachelor’s degree from Yarmouk University, Jordan, earned in 2004.

Mohammad R. Rawashdeh, Hijjawi Faculty for Engineering Technology Yarmouk University, Irbid, Jordan

Mohammad R. Rawashdeh is currently an associate professor in the Communications Engineering Department, Yarmouk University, Irbid, Jordan. He got his Ph.D. from Michigan State University, East Lansing, Michigan, USA, in 2018. His research interests include computational electromagnetics, microwave circuits design and analysis, and non-destructive evaluation.

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Published

2024-12-31

How to Cite

[1]
H. . Obeidat, E. . Alzuraiqi, I. . Trrad, N. . Alhindawi, and M. R. . Rawashdeh, “Performance Comparison Between Fingerprinting-based RSS Indoor Localization Techniques at WLAN Frequencies: Simulation Study”, ACES Journal, vol. 39, no. 12, pp. 1092–1102, Dec. 2024.

Issue

2024: Vol 39 Iss 12

Section

General Submission

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