Reliable RFID bulk reading using adaptive time and power control

Gan, Oon Peen; Aw, Leck Leng; Hu, Sheng

doi:10.1109/tencon.2016.7847974

Cited by 2 publications

(1 citation statement)

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“…The hit-rate of the method—the ratio of identified (read) tags to all tags—depends on the performance of the reader and the positions of antennas as Ustundag et al, presented in Reference [ 26 ], therefore it seems the higher the required hit-rate, the higher the cost of the reader. However, hit-rate can be improved with different methods such as adaptive time and power control too [ 27 ].…”

Section: Related Workmentioning

confidence: 99%

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Frankó

Vida

Varga

2020

Sensors

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Revolutionizing logistics and supply chain management in smart manufacturing is one of the main goals of the Industry 4.0 movement. Emerging technologies such as autonomous vehicles, Cyber-Physical Systems and digital twins enable highly automated and optimized solutions in these fields to achieve full traceability of individual products. Tracking various assets within shop-floors and the warehouse is a focal point of asset management; its aim is to enhance the efficiency of logistical tasks. Global players implement their own solutions based on the state of the art technologies. Small and medium companies, however, are still skeptic toward identification based tracking methods, because of the lack of low-cost and reliable solutions. This paper presents a novel, working, reliable, low-cost, scalable solution for asset tracking, supporting global asset management for Industry4.0. The solution uses high accuracy indoor positioning—based on Ultra-Wideband (UWB) radio technology—combined with RFID-based tracking features. Identifying assets is one of the most challenging parts of this work, so this paper focuses on how different identification approaches can be combined to facilitate an efficient and reliable identification scheme.

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Section: Related Workmentioning

confidence: 99%