閱讀全文 | |
篇名 |
Effective Tag Identification Algorithm for Dynamic Radio Frequency Identification Systems
|
---|---|
並列篇名 | Effective Tag Identification Algorithm for Dynamic Radio Frequency Identification Systems |
作者 | Cheng-Huang Chang、Chen-Chuan Wu、Chiu-Kuo Liang |
英文摘要 | In radio frequency identification (RFID) systems, the rapid identification of all tags located within the range of a reader is a major research topic. For rapid identification, the development of an effective anticollision protocol between the reader and tags is essential. Numerous anticollision protocols have been proposed, but these anticollision algorithms tend to be used in a static environment where the tags available within the range of a reader do not change during an identification process. By contrast, in the dynamic environment of RFID systems, such as in inventory management, some identified tags are removed and new tags are included. The reader in such an environment must regularly reidentify the tags. The previously proposed dynamic identification method cannot fully utilize the results from a previous identification process, and that results in collisions and idles occurring again in the new identification process. Therefore, such an identification process is inefficient. In this study, an efficient protocol termed the leaf node bit collision detection–based query tree (LBQT) algorithm is proposed. The proposed LBQT algorithm can reduce unnecessary queries for unchanged tags and rapidly identify the new tags. Experimental results indicate that the proposed algorithm outperforms previous protocols without depending on various densities of tag distributions. |
起訖頁 | 2225-2234 |
關鍵詞 | RFID systems、Tag anticollision algorithms、Dynamic identification |
刊名 | 網際網路技術學刊 |
期數 | 201912 (20:7期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
|
QR Code | |
該期刊 上一篇
| A Progressive Web App for Evaluating Occupation Indicator |
該期刊 下一篇
| The Implementation of a Real-time Monitoring and Prediction System of PM2.5 and Influenza-Like Illness Using Deep Learning |