Design of a Quaternary Query Tree ALOHA Protocol Based on Optimal Tag Estimation Method

Zhang, Fu; Deng, Fang−Ming; Wu, Xiang

doi:10.3390/info8010005

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…This way, items in other layers are out of the read-zone of the antenna and will not be identified by it. Nowadays, more and more algorithms have been proposed to overcome the collision problem, enhance positioning accuracy, and improve the efficiency of RFID systems [28][29][30].…”

Section: Inventory Models For the Retailermentioning

confidence: 99%

Mean-Variance Analysis of Retailers Deploying RFID-Enabled Smart Shelves

Zhu

Wang

2018

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Radio frequency identification (RFID)-enabled smart shelves have recently attracted enormous attention from both industry and academia. Retailers have an explosion of interest in deploying smart shelves for the automatic ordering and the reduction of inventory inaccuracy. This study explores the retailers' optimal policy for investing in a smart shelf inventory control system. Since the decision maker's risk attitude plays an important role in its investment in technology, we therefore specifically consider the retailers' risk attitude. The risk attitude is measured by the mean-variance analysis. We derive analytical expressions for the benefit of the smart shelf and specify the conditions under which retailers should invest in it. We also show the explicit relationship between the retailer's risk attitude and his optimal policy. Finally, we conduct a numerical analysis to provide managerial insights for retailers to invest in smart shelves.

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Section: Inventory Models For the Retailermentioning

confidence: 99%

Mean-Variance Analysis of Retailers Deploying RFID-Enabled Smart Shelves

Zhu

Wang

2018

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“…Zhihui Fu, Fangming Deng, and Xiang W presented a 4-ary query tree Additive Link On-line HAwaii (ALOHA) protocol is that combines the merits of query tree algorithm and frame slotted ALOHA, and avoids their weaknesses [10].…”

Section: F Resent Anti-collision Algorithmsmentioning

confidence: 99%

“…The most important challenges that limited RFID anticollision algorithms are accurately estimating the number of tags and the other is improving the efficiency of RFID systems [10]. So our work will concentrate to solve this challenges.…”

Section: Introductionmentioning

confidence: 99%

Improved Anti-Collision Algorithm for Tag Identification in Future Internet of Things

Moshref¹

2017

IJCNIS

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The most important research in the world in these days, research that looking at the internet of thing's (IoT) topics and their applications. Most of these applications depend on RFID system, which includes RFID readers and tags. The important issues in RFID system or network are how we can reduce anti-collision between readers to identify and read tags data. In these paper, we suggest an Improved anti-collision protocol, which can be used to connect RFID readers with RFID tags and reduce the number of RFID tag's collisions. The simulation shows that an Improved Class-1 Generation 2 algorithm is better than Slotted Aloha, Class-1 Generation-2 (Number of Tags Known), Class-1 Generation-2 (Number of Tags Unknown) algorithms.

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