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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

IoT sensors for indoor positioning : A literature review

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pp. 625–641Vol. 46Issue 3April 2025DOI: 10.47974/JIOS-1674XML
Received:
16 Oct 2024
Published Online:
01 Apr 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1674
Pages:
625–641

Abstract

Indoor positioning is the process of getting the position of an object or person inside the indoor environment. There are cases in which the building architecture is complex and there is the possibility of a person or object getting lost. In such cases, Indoor positioning is helpful to locate a person or object. To locate an object in an indoor environment, various types of sensors are used. These sensors use different types of data to locate the object or person. This review paper aims to provide the various sensors and different parameters to compare sensors that are used in indoor positioning. There are various practical applications for Indoor positions. Navigation in shopping malls or museums, inventory management, robots’ movement, and asset tracking are various practical examples of Indoor positioning.

Keywords

Subject Classifications

68M1868T4051N35

References

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