Journal of Cybersecurity and Information Management

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Volume 6 , Issue 2 , PP: 101-107, 2021 | Cite this article as | XML | Html | PDF | Full Length Article

An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm

Mohammad Alshehri 1 *

  • 1 Visiting Professor, University of Technology Sydney, Sydney, Australia - (Mohammad.Alshehri@uts.edu.au)
  • Doi: https://doi.org/10.54216/JCIM.060203

    Received: December 28, 2020 Accepted: March 11, 2021
    Abstract

    Presently, a precise localization and tracking process becomes significant to enable smartphone-assisted navigation to maximize accuracy in the real-time environment. Fingerprint-based localization is the commonly available model for accomplishing effective outcomes. With this motivation, this study focuses on designing efficient smartphone-assisted indoor localization and tracking models using the glowworm swarm optimization (ILT-GSO) algorithm. The ILT-GSO algorithm involves creating a GSO algorithm based on the light-emissive characteristics of glowworms to determine the location. In addition, the Kalman filter is applied to mitigate the estimation process and update the initial position of the glowworms. A wide range of experiments was carried out, and the results are investigated in terms of distinct evaluation metrics. The simulation outcome demonstrated considerable enhancement in the real-time environment and reduced the computational complexity. The ILT-GSO algorithm has resulted in an increased localization performance with minimal error over the recent techniques.

    Keywords :

    Indoor localization, Smartphones, Tracking model, GSO algorithm, Kalman filter, Estimation error

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    Cite This Article As :
    Alshehri, Mohammad. An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm. Journal of Cybersecurity and Information Management, vol. , no. , 2021, pp. 101-107. DOI: https://doi.org/10.54216/JCIM.060203
    Alshehri, M. (2021). An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm. Journal of Cybersecurity and Information Management, (), 101-107. DOI: https://doi.org/10.54216/JCIM.060203
    Alshehri, Mohammad. An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm. Journal of Cybersecurity and Information Management , no. (2021): 101-107. DOI: https://doi.org/10.54216/JCIM.060203
    Alshehri, M. (2021) . An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm. Journal of Cybersecurity and Information Management , () , 101-107 . DOI: https://doi.org/10.54216/JCIM.060203
    Alshehri M. [2021]. An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm. Journal of Cybersecurity and Information Management. (): 101-107. DOI: https://doi.org/10.54216/JCIM.060203
    Alshehri, M. "An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm," Journal of Cybersecurity and Information Management, vol. , no. , pp. 101-107, 2021. DOI: https://doi.org/10.54216/JCIM.060203