Vol.12, No.3, August 2023.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

TEM Journal

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

Technical Review of Radio Frequency Identification and Internet of Things Technologies in Business Operations and Automated Indoor Location

Andreea-Alina Cornea, Alexandru Marius Obretin

© 2023 Alexandru Marius Obretin, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: TEM Journal. Volume 12, Issue 3, Pages 1233-1241, ISSN 2217-8309, DOI: 10.18421/TEM123-01, August 2023.

Received: 14 March 2023.

Revised:   29 June 2023.
Accepted: 18 July 2023.
Published: 28 August 2023.

Abstract:

The technological diversity applied in practical examples entails the identification and the analysis of different implementation options, thus opening the way to a world of technology. The goal of this paper is to spot novel prospects for incorporating sensors and Big Data techniques for better property administration strategies, through an indoor localization and navigation architecture. The hereby analysis uses an approach that combines Radio Frequency Identification technology, performance efficient algorithms for calculating routes in very large datasets, methodologies for optimizing spatial representations and Internet of Things specific hardware distribution techniques to properly address challenging logistics issues and complex facilities management. The proposed solution is tailored for a large underground parking area in a commercial center, enabling easy car location identification, automatic parking time calculation and dynamically determined occupancy levels, along with descriptive statistics about busy time intervals or visiting patterns.

Keywords –Radio Frequency Identification, Internet of Things, indoor location, commerce, technology.

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