Graph Based RFID Grouping for Fast and Robust Inventory Tracking
文献类型：期刊论文
| 作者 | Jin, Meng2; Li, Kexin2; Tian, Xiaohua2; Wang, Xinbing2; Zhou, Chenghu1 |
| 刊名 | IEEE TRANSACTIONS ON MOBILE COMPUTING
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 23期号:12页码:14201-14217 |
| 关键词 | Radiofrequency identification Accuracy Reflection Location awareness Couplings Technological innovation Costs RFID wireless sensing inventory tracking |
| ISSN号 | 1536-1233 |
| DOI | 10.1109/TMC.2024.3439430 |
| 产权排序 | 2 |
| 英文摘要 | This paper presents the design, implementation, and evaluation of TaGroup, a fast, fine-grained, and robust grouping technique for RFIDs. It can achieve a nearly 100% accuracy in distinguishing multiple groups of closely located RFIDs, within only a few seconds. It would benefit many inventory tracking applications, such as self-checkout in retails and packaging quality control in logistics. We make two technical innovations. First, we propose a novel method which can measure the channels between multiple pairs of commercial RFID tags simultaneously, and then estimate the proximity relations between them based on the channel information. Second, we introduce a spatio-temporal graph model which captures a full picture of proximity relations among all the tags, based on which TaGroup can perform a robust grouping of the tags. These two designs together boost the grouping speed and accuracy of TaGroup. Our experiments show that in grouping 120 tags into 4 closely located groups, TaGroup can achieve a nearly 100% accuracy, at the cost of only 2 seconds. |
| 资助项目 | National Key Research and Development Program of China[2020YFB1708700] ; National Natural Science Fund of China[62272293] ; National Natural Science Fund of China[42050105] |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001359244600117 |
| 出版者 | IEEE COMPUTER SOC |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Fund of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211623]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Jin, Meng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jin, Meng,Li, Kexin,Tian, Xiaohua,et al. Graph Based RFID Grouping for Fast and Robust Inventory Tracking[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2024,23(12):14201-14217. |
| APA | Jin, Meng,Li, Kexin,Tian, Xiaohua,Wang, Xinbing,&Zhou, Chenghu.(2024).Graph Based RFID Grouping for Fast and Robust Inventory Tracking.IEEE TRANSACTIONS ON MOBILE COMPUTING,23(12),14201-14217. |
| MLA | Jin, Meng,et al."Graph Based RFID Grouping for Fast and Robust Inventory Tracking".IEEE TRANSACTIONS ON MOBILE COMPUTING 23.12(2024):14201-14217. |
入库方式： OAI收割
来源：地理科学与资源研究所
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