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3rd Annual International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE)

作者： Xu, Chengshun Lu, Di Harbin Univ Sci & Technol Harbin Peoples R China

ISBN: (纸本)9783662491553;9783662491546

In the passive RFID system, the backscatter powers of tags are affected by the path loss and cause the capture effect. The capture effect makes some tags hidden and reduces the efficiency of identification. In this paper, an improved anti-collision algorithm capture effect tags optimization grouping (CEOG) is presented. The novel algorithm analysis the captures effects of RFID, then adopts Chebyshev estimation and group the capture effect optimization tags. By the theory and simulations, the CEOG make the system throughput exceed 60 %.

关键词： RFID anti-collision algorithm Capture effect Tags grouping Throughput

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A Slot Detection anti-collision algorithm with Hamming Weight Re-selection in RFID

A Slot Detection Anti-collision Algorithm with Hamming Weigh...

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6th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Shao Min Jin Xiaofang Jin Libiao Commun Univ China Informat Engn Sch Beijing Peoples R China

ISBN: (纸本)9781479983537

In this paper, an anti-collision algorithm based on Hamming eight e-selection (HWEA) in Radio Frequency Identification (RFID) system is proposed. Tags are identified in two situations: the unique selection of conventional random number and the Hamming weight of each tag. These two parameters are returned to the reader after coded. According to the received information of reader, the selection conditions of slots can be detected and the corresponding processing can be made. Reader skip all the idle slots and collided tags which have different Hamming weight from other tags in a collision slot. So there are more tags can be identified successfully in a frame. Analysis and simulation results illustrate that the identification efficiency of all unrecognized tags can be increased to above 80%, and it also outperforms existing algorithms on number of needed frames and transmission data.

关键词： anti-collision algorithm Hamming weight re-selection slots detection

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NQA: A Nested anti-collision algorithm for RFID Systems

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ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS 2019年第4期18卷 32-32页

作者： Wang, Xiaokang Yang, Laurence T. Li, Hongguo Lin, Man Han, Jianjun Apduhan, Bernady O. Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China St Francis Xavier Univ Dept Comp Sci Antigonish NS B2G 2W5 Canada Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Hubei Peoples R China Kyushu Sangyo Univ Fac Sci & Engn Dept Informat Sci Fukuoka Fukuoka 8138503 Japan

Radio frequency identification (RFID) systems, as one of the key components in the Internet of Things (IoT), have attracted much attention in the domains of industry and academia. In practice, the performance of RFID systems rather relies on the effectiveness and efficiency of anti-collision algorithms. A large body of studies have recently focused on the anti-collision algorithms, such as the Q-algorithm (QA), which has been successfully utilized in EPCglobal Class-1 Generation-2 protocol. However, the performance of those anti-collision algorithms needs to be further improved. Observe that fully exploiting the pre-processing time can improve the efficiency of the QA algorithm. With an objective of improving the performance for anti-collision, we propose a Nested Q-algorithm (NQA), which makes full use of such pre-processing time and incorporates the advantages of both Binary Tree (BT) algorithm and QA algorithm. Specifically, based on the expected number of collision tags, the NQA algorithm can adaptively select either BT or QA to identify collision tags. Extensive simulation results validate the efficiency and effectiveness of our proposed NQA (i.e., less running time for processing the same number of active tags) when compared to the existing algorithms.

关键词： RFID anti-collision algorithm Q-algorithm Binary tree algorithm

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Research on hybrid of ALOHA and multi-fork tree anti-collision algorithm for RFID

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Procedia Computer Science 2021年 183卷 389-394页

作者： Weihui Zhou Niande Jiang East China University of Technology Yangtze River College Fuzhou 344000 China East China University of Technology Nangchang 330013 China

The work aims at the problem of multi-tag collision in RFID system, then analysis the binary tree algorithm and ALOHA and points out their shortcomings, we proposed a Hybrid of ALOHA and Tree (HAMT) algorithm. The algorithm first uses the DFSA algorithm for tag identification, and dynamically selects the multi-fork tree algorithm for tag identification based on the number of unidentified tags secondly, thus ensuring that the tag is 100% identified, and improves recognition efficiency and shortens recognition time. The results of the simulation show that when the number of tags is about 1000, the recognition efficiency of the HAMT algorithm can reach around 0.72. So the HAMT algorithm can solve the multi-tag collision problem.

关键词： RFID Multi-fork tree ALOHA tags anti-collision algorithm

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An anti-collision algorithm for RFID Based on an Array and Encoding Scheme

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INFORMATION 2018年第3期9卷 63页

作者： Liu, Baolong Su, Xiaohao Xian Technol Univ Sch Comp Sci & Engn Xian 710021 Shaanxi Peoples R China

In order to solve the problem of tag collision in Radio Frequency Identification (RFID) system, the paper proposes a Multi-Bit Identification collision Tree (MICT) algorithm based on a collision tree. The algorithm uses an array scheme to mark the collision bits in the identification process, and determines the collision information according to the first few bits of the tag, which can effectively reduce the number of recognitions and the amount of communication data. The testing results show that the proposed algorithm reduces the time complexity by about 38% and the communication complexity by about 27% compared to existing collision-tree-based algorithms. Through theoretical analysis and experimental evaluation, the MICT algorithm has obvious advantages in terms of time and communication complexity compared to the other typical algorithms. The algorithm can be applied to the field of RFID-related systems to significantly improve the system efficiency.

关键词： Radio Frequency Identification anti-collision algorithm electronic tags code identification

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Study on the Improved Framed Slotted ALOHA anti-collision algorithm

Study on the Improved Framed Slotted ALOHA Anti-collision Al...

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The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Zu-jue Chen Dong Qin Hong-jin Wang Department of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang 212013 CHINA

In order to improve the identification efficiency of tag anti-collision algorithm in RFID system further, the improved framed slotted ALOHA algorithm is proposed with accurate tag estimation and quick identification. the whole process is divided into two phases including tag estimation and tag identification, in tag estimation algorithm, the collision probability threshold parameter is used to estimate the number of tags accurately for the optimization of the number of time slots in the initial frame;in tag identification phase, the binary search algorithm is used to identify the tags fleetly that collide with other tags in time slots. Simulation result shows that the improved FSA consumes less time slots than dynamic framed slotted ALOHA (DFSA), the binary tree protocol and FSA. The proposed algorithm can improve the tag identification efficiency in RFID system further.

关键词： RFID framed slotted ALOHA anti-collision algorithm tag estimation

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collision Avoidance anti-collision algorithm Based On Subset Partition

Collision Avoidance Anti-Collision Algorithm Based On Subset...

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International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

作者： An Jiang Department of Computer Guangdong Agriculture Industry Business Polytechnic College

ISBN: (纸本)9781509040940

Tag collision is a very important issue in RFID system. In order to improve the identification efficiency of the system, this paper proposes a collision avoidance anti-collision algorithm based on subset partition (CABSP). The CABSP narrows the identification range and reduces the probability of tag collision by splitting tag subsets. On this basis, the process of tag identification is divided into two phases including of tag slot reservation phase and tag reading phase, the reader eliminates the idle slots of the tag reading phase by detecting whether there is a reservation collision in the slot reservation phase, and improves the identification efficiency by selecting the tag to be recognized according to the collision avoidance mechanism. Simulation results show that the CABSP algorithm reduces the collision slots in the process of tag identification, and the system throughput can be increased to 90.4%, the performance is better than other existing algorithms in the literature in terms of the identification efficiency and communication complexity.

关键词： RFID anti-collision algorithm Subset division collision avoidance Slot reservation

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Research on anti-collision algorithm of RFID Tags in Smart Supermarkets Based on Internet of Things

Research on Anti-Collision Algorithm of RFID Tags in Smart S...

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The 6th International Symposium on Project Management(ISPM2018)

作者： Shusheng SUN Yayi LIU Yunfeng Ma Evergrande College of Management Wuhan University of Science and Technology Wuhan University of Science and Technology

Smart supermarkets are the future development trend of supermarkets. At present, the key problem that hinders the development of smart supermarkets is the collision of RFID tags. Based on the environment characteristics of smart supermarkets, by analyzing the existing anti-collision algorithms, an improved lock-bit dual prefix probe anti-collision algorithm is proposed. By establishing models and analyzing, the system total time slots and throughput rate all have been improved and throughput rate is stable at 95%. It solves the collision problem of commodity RFID tags in smart supermarkets and improves the overall stability and operational efficiency of smart supermarket RFID systems.

关键词： Internet of Things RFID smart supermarkets anti-collision algorithm

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A Slot Detection anti-collision algorithm with Hamming Weight Re-selection in RFID

A Slot Detection Anti-collision Algorithm with Hamming Weigh...

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2015 6th IEEE International Conference on Software Engineering and Service Science(ICSESS 2015)

作者： Shao Min Jin Xiaofang Jin Libiao Information Engineering School Communication University of China （CUC）

In this paper, an anti-collision algorithm based on Hamming W eight R e-selection（HWEA） in Radio Frequency Identification（RFID） system is proposed. Tags are identified in two situations: the unique selection of conventional random number and the Hamming weight of each tag. These two parameters are returned to the reader after coded. According to the received information of reader, the selection conditions of slots can be detected and the corresponding processing can be made. Reader skip all the idle slots and collided tags which have different Hamming weight from other tags in a collision slot. So there are more tags can be identified successfully in a frame. Analysis and simulation results illustrate that the identification efficiency of all unrecognized tags can be increased to above 80%,and it also outperforms existing algorithms on number of needed frames and transmission data.

关键词： anti-collision algorithm Hamming weight reselection slots detection

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Hybrid anti-collision algorithm based on RFID system

Hybrid anti-collision algorithm based on RFID system

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2015 International Conference on Electric, Electronic and Control Engineering (ICEECE 2015)

作者： Jinan Zhang Yigang He Huan Chen Maoxu Liu School of Electrical Engineering and Automation Hefei University of Technology

A novel hybrid anti-collision algorithm is proposed based on the analysis of the binary tree algorithm and ALOHA algorithm that is the grouping dynamic frame slot AHOLA collision tacking algorithm(GDCA).Firstly,the proposed algorithm combines Dynamic Frame Slot ALOHA(DFSA) algorithm,collision Tracking Tree(CTT) algorithm and grouping idea ***,the dynamic tag estimation method is used to estimate the number of existing *** tags will be grouped and frame size within each group is determined according to the estimation *** last,the CTT algorithm is used to identify tags in the collision slots within each *** comparison of simulation shows that GDCA algorithm has higher throughput rate and less total number of slots than CTT algorithm and DFSA *** Radio Frequency Identification(RFID) system gets better performance with the proposed algorithm.

关键词： RFID system anti-collision algorithm DFSA CTT GDCA

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