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Cited 9 time in webofscience Cited 13 time in scopus
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Investigation of UHF Signal Strength Propagation at Warehouse Management Applications Based on Drones and RFID Technology Utilizationopen access

Authors
Benes, FilipStasa, PavelSvub, JiriAlfian, GanjarKang, Yong-ShinRhee, Jong-Tae
Issue Date
Feb-2022
Publisher
MDPI
Keywords
RFID; inventory management; drone; unmanned aerial vehicle; RSSI; positioning
Citation
Applied Sciences, v.12, no.3, pp 1 - 16
Pages
16
Indexed
SCIE
SCOPUS
Journal Title
Applied Sciences
Volume
12
Number
3
Start Page
1
End Page
16
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/3662
DOI
10.3390/app12031277
ISSN
2076-3417
2076-3417
Abstract
Featured Application The results of the research can be used not only in applications from an area of outdoor warehouses, e.g., wood processors, but also in other industries with the need to remotely monitor the location of buildings and detect its change in the outdoor area. As a part of the supply chain, inventory management includes, among other things, maintaining the storage of stock, controlling the amount of product for sale and order fulfilment. In business terms, inventory management means the right stock, at the right levels, in the right place, at the right time. In the case of large outdoor warehouses, common identification methods are lengthy and inappropriate. One way to determine inventory easily and quickly is to deploy UAV's (unmanned aerial vehicle) for product identification purposes. In this case, however, there is a problem in determining where the goods are located. A drone moves at higher altitudes, which can lead to a situation where we will not be able to determine the exact location of the goods. This article deals with a method of determining the correct flight level suitable to distinguish the identified items located at least 2 m apart. The evaluation is performed based on an RSSI (received signal strength indicator) value. The experiment proved that even at maximum reading distance of selected passive UHF RFID tags the two objects can be distinguished.
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