Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

George Oguntala*, Raed Abd-Alhameed, Stephen Jones, James Noras, Mohammad Patwary, Jonathan Rodriguez

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

23 Citations (Scopus)


The advent of the Internet of Things has witnessed tremendous success in the application of wireless sensor networks and ubiquitous computing for diverse smart-based applications. The developed systems operate under different technologies using different methods to achieve their targeted goals. In this treatise, we carried out an inclusive survey on key indoor technologies and techniques, with to view to explore their various benefits, limitations, and areas for improvement. The mathematical formulation for simple localization problems is also presented. In addition, an empirical evaluation of the performance of these indoor technologies is carried out using a common generic metric of scalability, accuracy, complexity, robustness, energy-efficiency, cost and reliability. An empirical evaluation of performance of different RF-based technologies establishes the viability of Wi-Fi, RFID, UWB, Wi-Fi, Bluetooth, ZigBee, and Light over other indoor technologies for reliable IoT-based applications. Furthermore, the survey advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems. The findings of the survey could be useful in the selection of appropriate indoor technologies for the development of reliable real-time indoor applications. The study could also be used as a reliable source for literature referencing on the subject of indoor location identification.

Original languageEnglish
Pages (from-to)55-79
Number of pages25
JournalComputer Science Review
Early online date21 Sept 2018
Publication statusPublished - 2018
Externally publishedYes


  • Hybridization
  • Indoor localization
  • Indoor technologies
  • Internet of Things


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