A Systematic Review of Contemporary Indoor Positioning Systems: Taxonomy, Techniques, and Algorithms

Jaiteg Singh, Noopur Tyagi, Saravjeet Singh, Farman Ali, Daehan Kwak

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations

Abstract

Due to the increasing need for accurate location-based services, indoor positioning systems (IPSs) have evolved rapidly. This study reviews the literature published from 2010 to 2024, employing the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology for the identification, screening, validation, and inclusion of research literature. By exploring the complexities of IPS methodologies, algorithms, technologies, and challenges, this study offers a comprehensive introduction for researchers, scholars, and specialists. Additionally, the scope of this study expands its focus to encompass mapping techniques, such as crowdsourcing, geographic information systems (GISs), remote sensing, LiDAR, cartography, and augmented reality (AR). The findings of this study will contribute to the increased applicability of these methods and techniques in the field of urban planning and environmental management. Contributing to the expanding pool of knowledge on indoor positioning, this work is a valuable resource for those exploring the ever-changing field of IPS. This work not only contributes to the academic but also bridges the gap between scientific discoveries and practical, real-world applications.

Original languageEnglish
Pages (from-to)34717-34733
Number of pages17
JournalIEEE Internet of Things Journal
Volume11
Issue number21
DOIs
StatePublished - 2024

Keywords

  • IPS methods
  • IPS technologies
  • Indoor navigation
  • indoor positioning system (IPS)
  • systematic review

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