scholarly journals A Fast Hybrid Strategy-Based RFID Tag Identification Protocol

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xinyan Wang

Tag collision is one of the critical problems in radiofrequency identification (RFID) technology which can be widely used to identify objects using tag attachment automatically. Through the transmission and reflection of wireless radiofrequency signals, noncontact identification is realized. However, when multiple tags respond to the reader simultaneously, a collision occurs, significantly degrading the identification performance of RFID systems. To tackle the tag collisions, we propose a fast hybrid strategy-based RFID anticollision (FHS-RAC) protocol. Based on the conventional query tree algorithm, the proposed FHS-RAC makes full use of collision bits and the total response bits to achieve the faster tag identification. Extensive simulations and experiments verify the feasibility and effectiveness of our proposed scheme.

Author(s):  
Salvador Ricardo Meneses González ◽  
Roberto Linares y Miranda

In this chapter, propagation channel aspects in current passive UHF RFID systems applied for automatic vehicular identification (AVI) are presented, considering the antennas design for passive UHF RFID tag and some problems relative to the electromagnetic compatibility. These issues are focused on RFID link, reader-tag-reader, and the channel modelling that is supported with measurements, and reader-reader interference problems are analysed.


Author(s):  
Kamalendu Pal

The use of Radio Frequency Identification (RFID) technology has attracted a huge attention from the supply chain business community. This is due to the use of RFID technology wide range of applications in the fields of logistics and supply chain management. This paper presents a brief overview of a simple industrial RFID system and then describe the basic concept of tag collision problem. Despite many useful applications, the RFID tag collision creates a major problem for fast tag identification process. There are different algorithmic solutions available to overcome tag collision problem in industrial supply chains. Based on binary search algorithm (BSA) of dynamic and backtracking, two variations of binary anti-collision search algorithms for tag identification processes are described in this paper. Simulation-based experimental results on the performance of these algorithms are evaluated when handling multiple RFID tags simultaneously. The backtracking binary search algorithm has obvious advantages in terms of tag identification process compared to the other two algorithms.


2019 ◽  
Vol 9 (1-2) ◽  
Author(s):  
Tuyen Trung Hoang ◽  
Hieu Van Dao ◽  
Vu Xuan Phan ◽  
Chuyen Thanh Nguyen

In this paper we investigate the tag identification performance of ahybrid Aloha/CDMA radio frequency identification (RFID) system withquasi-decorrelating detector (QDD). Motivated from the fact that theQDD outperforms the conventional decorrelating detector (DD) innoisy network scenarios, we study and propose using QDD as one ofthe most promising candidates in the structure of RFID readers.Performance analysis in terms of bit error rate and the RFID systemefficiency is considered. Computer simulations are also performed,and the obtained results of QDD-based structure are compared withthose of DD-based one to confirm the correctness of the designsuggestion.


2015 ◽  
Vol 738-739 ◽  
pp. 1123-1128 ◽  
Author(s):  
Hai Peng Zhang ◽  
Jun Jie Li ◽  
Zi Ling Chen ◽  
Bin Wang

In RFID system, when multiple tags transmit information in the same wireless channel simultaneously, data collisions usually occur which will reduce the identifying efficiency of RFID systems. To resolve this problem, several Dynamic Frame-Slotted ALOHA (DFSA) methods have been proposed. However, these methods are generally not capable of achieving expected performance when the number of tags is much larger or smaller than the initial frame size. Aiming to this problem, a Rapid DFSAI (RDFSAI) method was put forward based on the DFSA with interrupt (DFSAI) in this paper. Firstly, whether the frame size is adjusted or not is judged by comparing the system efficiency with the reference system efficiency. Secondly, the multiple factor of the frame size is determined by the ratio between the collision and empty slots, which leads to a seriels of different multiple factors or. As a result, the proposed RDFSAI elevates the adjustment speed of frame size and reduces the unnecessary empty and collision slots effectively. Simulation results indicate that the RDFSAI method appears better performance than the conventional methods even the tag number is increased up to 1600.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Lingyun Zhao ◽  
Lukun Wang ◽  
Shan Du

In large-scale Internet of Things (IoT) applications, tags are attached to items, and users use a radiofrequency identification (RFID) reader to quickly identify tags and obtain the corresponding item information. Since multiple tags share the same channel to communicate with the reader, when they respond simultaneously, tag collision will occur, and the reader cannot successfully obtain the information from the tag. To cope with the tag collision problem, ultrahigh frequency (UHF) RFID standard EPC G1 Gen2 specifies an anticollision protocol to identify a large number of RFID tags in an efficient way. The Q -algorithm has attracted much more attention as the efficiency of an EPC C1 Gen2-based RFID system can be significantly improved by only a slight adjustment to the algorithm. In this paper, we propose a novel Q -algorithm for RFID tag identification, namely, HTEQ, which optimizes the time efficiency of an EPC C1 Gen2-based RFID system to the utmost limit. Extensive simulations verify that our proposed HTEQ is exceptionally expeditious compared to other algorithms, which promises it to be competitive in large-scale IoT environments.


2019 ◽  
Vol 4 (8) ◽  
pp. 15-18
Author(s):  
Cesar Da Costa ◽  
Rafael G. Vastag ◽  
Milena M. De Campos

One of the main problems encountered in production processes is data acquisition on the factory floor. With the increase in production complexity, the amount of data to be collected increases. Currently, data are collected both manually and automatically. The manual collection involves documentation in a folder and storing in a separate room. However, there are other types of data that are automatically recorded into an information system. The data are registered and processed in different systems, which depend on the production stage in which the data are collected. The evolution of wireless technologies, such as wireless local area networks, sensor networks, and radiofrequency identification (RFID) systems, has favored the creation of mobile services related to the ​​computing aspect. Therefore, this paper presents a model of the implementation of an electronic identification system based on RFID technology, for application in automatic traceability of products in a didactic manufacturing cell installed in the programmable logic controller (PLC) network laboratory of the São Paulo Institute, Brazil.  


2014 ◽  
Vol 513-517 ◽  
pp. 3954-3957 ◽  
Author(s):  
Hai Yang Feng ◽  
Jia Liang He ◽  
Li Jun Zhang ◽  
Fan Gang Meng

RFID is a technology which is used to identify remote objects embedded with RFID tags by wireless scanning without manual intervention; it can be used in traffic management wildspread. In this paper, we propose RFID tag management process for every vehicle firstly; some typical or potential RFID applications in traffic management are introduced such as vehicles congestion managementandengineemission inspection from petrol automotives subsequently; finally, the existing issues of implementation of RFID systems are generalized.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Khaled Issa ◽  
Yazeed A. Alshoudokhi ◽  
Muhammad A. Ashraf ◽  
Mohammed R. AlShareef ◽  
Hatim M. Behairy ◽  
...  

Chipless radiofrequency identification (RFID) technology is very promising for sensing, identification, and tracking for future Internet of Things (IoT) systems and applications. In this paper, we propose and demonstrate a compact 18-bit, dual polarized chipless RFID tag. The proposed tag is based on L-shaped resonators designed so as to maximize the spectral and spatial encoding capacities. The proposed RFID tag operates an over 4 GHz frequency band (i.e., 6.5 GHz to 10.5 GHz). The tag is simulated, fabricated, and tested in a nonanechoic milieu. The measured data have shown good agreement with the simulation results, with respect to resonators’ frequency positions, null depth, and null bandwidth over the operating spectrum. The proposed design achieves spectral and spatial encoding capacities of 4.5 bits/GHz and 18.8 bits/cm2, respectively. This, in turn, gives an encoding density of 4.7 bits/GHz/cm2. For code identification, we exploit the frequency content of the backscattered signals and identify similarity/correlation features with reference codes.


Author(s):  
Jiaqi Xu ◽  
Wei Sun ◽  
Kannan Srinivasan

RFID techniques have been extensively used in sensing systems due to their low cost. However, limited by the structural simplicity, collision is one key issue which is inevitable in RFID systems, thus limiting the accuracy and scalability of such sensing systems. Existing anti-collision techniques try to enable parallel decoding without sensing based applications in mind, which can not operate on COTS RFID systems. To address the issue, we propose COFFEE, which enables parallel channel estimation of COTS passive tags by harnessing the collision. We revisit the physical layer design of current standard. By exploiting the characteristics of low sampling rate and channel diversity of RFID tags, we separate the collided data and extract the channels of the collided tags. We also propose a tag identification algorithm which explores history channel information and identify the tags without decoding. COFFEE is compatible with current COTS RFID standards which can be applied to all RFID-based sensing systems without any modification on tag side. To evaluate the real world performance of our system, we build a prototype and conduct extensive experiments. The experimental results show that we can achieve up to 7.33x median time resolution gain for the best case and 3.42x median gain on average.


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