Proceedings of International Conference on Applied Innovation in IT
2023/03/09, Volume 11, Issue 1, pp.31-35

Comparative Analysis of Local Positioning Methods in Wi-Fi/Indoor Networks


Irina Strelkovskaya, Irina Solovskaya and Juliya Strelkovska


Abstract: The rapid development of various LBS-oriented applications and services requires the development of new and improvement of known local positioning methods in order to increase the accuracy of determining the user's coordinates. First of all, it connects to methods for determining the location of users in rooms, subject to a high concentration of users and the presence of various difficulties in the propagation of radio signals. To determine the local location of a user in a Wi-Fi/Indoor network, the Fingerprinting method is considered. The comparison of the results of user positioning in the Wi-Fi/Indoor network based on the Fingerprinting method using various algorithms for determining user coordinates, such as the probabilistic Bayesian method and complex approximation using complex planar quadratic splines, was carried out. It has been established that the use of the Fingerprinting local positioning method using quadratic complex flat splines can improve the accuracy of determining the user's location coordinates, thereby ensuring the provision of LBS services and applications to users in the premises.

Keywords: Location, Wi-Fi/Indoor Network, Fingerprinting Method, Probabilistic Bayesian Method, Quadratic Complex Planar Spline, Positioning Accuracy.

DOI: 10.25673/101907

Download: PDF

References:

  1. S.H. Hameedah, M. Hussein, M.S. Saad, and M.A. Mat Dzahir, “An Overview of Local Positioning System: Technologies, Techniques and Applications,” in International Journal of Engineering & Technology, vol. 7(3), 2018, pp. 1-5.
  2. F. Gu, X. Hu, M. Ramezani, and et al., “Indoor Localization Improved by Spatial Context - A Survey,” in ACM Computing Surveys, vol. 52(3):64, 2019, pp. 1-35, doi: 10.1145/3322241.
  3. A. Yassin, Y. Nasser, M. Awad, and et al., “Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications,” in IEEE Communications Surveys & Tutorials, 2016, 99 p., doi: 10.1109/COMST.2016.2632427.
  4. Q. Yang, S. Zheng, and M. Liu, “Research on Wi-Fi indoor positioning in a smart exhibition hall based on received signal strength indication,” in Journal on Wireless Communications and Networking, 2019, doi: 10.1186/s13638-019-1601-3.
  5. A.P. Rahmadini, P. Kristalina, and A. Sudarsono, “Optimization of Fingerprint Indoor Localization System for Multiple, Object Tracking Based on Iterated Weighting Constant - KNN Method,” in International Journal on Advanced Science Engineering Informational Technology, vol. 8, no. 3, 2018.
  6. P. Bráulio H.O.U.V., Horácio A.B.F. de Oliveira, and E. J.P. Souto, “Factor Optimization for the Design of Indoor Positioning Systems Using a Probability-Based Algorithm,” in Journal of Sensor and Actuator Networks, vol. 10, no. 1:16, 2021.
  7. G. Li, E. Geng, Z. Ye, and H. Zhu, “An Indoor Positioning Algorithm Based on RSSI Real-time Correction,” 14th IEEE International Conference on Signal Processing (ICSP), 2018.
  8. S. Gao and S. Prasad, “Employing spatial analysis in in-door positioning and tracking using Wi-Fi access points,” Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, pp. 27-34, 2016.
  9. H. Mehmood, N.K. Tripathi, and T. Tipdecho, “Indoor Positioning System Using Artificial Neural Network,” in Journal of Computer Science, vol. 6 (10), 2010. [Online]. Available: https://doi.org/ 10.3844/jcssp.2010.1219.1225.
  10. В. Sulaiman, E. Natsheh, and S. Tarapiah, “Towards a better indoor positioning system: A location estimation process using artificial neural networks based on a semi-interpolated database,” in Pervasive and Mobile Computing, vol. 81, 2022, 101548.
  11. I. Strelkovskaya, I. Solovskaya, and J. Strelkovska, “Fingerprinting/Indoor positioning using complex planar splines,” in Journal of Electrical Engineering, vol. 72, no. 6, 2021, рр. 401-406, doi: 10.2478/jee-2021-0057.
  12. I. Strelkovskaya, I. Solovskaya, J. Strelkovska, and T. Grigoryeva, “Using quadratic complex planar splines in solving local positioning problems,” IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2022, pp. 602-605, doi: 10.1109/TCSET55632.2022. 9766876.
  13. G. Opfer and M. Puri, “Complex planar splines,” in J. Approxim. Theory, vol. 31, no. 4, pp. 383-402, 1981.
  14. I.I. Gikhman, A.V. Skorokhod, and M.I. Yadrenko, “Probabilistic theory and mathematical statistics,” Kyiv. Publishing Association “Vishcha Shkola", 1979.


    HOME

       - Call for Papers
       - For authors
       - Important Dates
       - Conference Committee
       - Editorial Board
       - Reviewers
       - Last Proceedings


    PROCEEDINGS

       - Volume 12, Issue 1 (ICAIIT 2024)        - Volume 11, Issue 2 (ICAIIT 2023)
       - Volume 11, Issue 1 (ICAIIT 2023)
       - Volume 10, Issue 1 (ICAIIT 2022)
       - Volume 9, Issue 1 (ICAIIT 2021)
       - Volume 8, Issue 1 (ICAIIT 2020)
       - Volume 7, Issue 1 (ICAIIT 2019)
       - Volume 7, Issue 2 (ICAIIT 2019)
       - Volume 6, Issue 1 (ICAIIT 2018)
       - Volume 5, Issue 1 (ICAIIT 2017)
       - Volume 4, Issue 1 (ICAIIT 2016)
       - Volume 3, Issue 1 (ICAIIT 2015)
       - Volume 2, Issue 1 (ICAIIT 2014)
       - Volume 1, Issue 1 (ICAIIT 2013)


    PAST CONFERENCES

       ICAIIT 2024
         - Photos
         - Reports

       ICAIIT 2023
         - Photos
         - Reports

       ICAIIT 2021
         - Photos
         - Reports

       ICAIIT 2020
         - Photos
         - Reports

       ICAIIT 2019
         - Photos
         - Reports

       ICAIIT 2018
         - Photos
         - Reports

    ETHICS IN PUBLICATIONS

    ACCOMODATION

    CONTACT US

 

DOI: http://dx.doi.org/10.25673/115729


        

         Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0


                                                   This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License


           ISSN 2199-8876
           Publisher: Anhalt University of Applied Sciences

        site traffic counter

Creative Commons License
Except where otherwise noted, all works and proceedings on this site is licensed under Creative Commons Attribution-ShareAlike 4.0 International License.