TY - JOUR AU - Chen, Buying PY - 2018/05/25 Y2 - 2024/03/29 TI - RFID Anti-Collision Technology in Big Data Environment JF - International Journal of Online and Biomedical Engineering (iJOE) JA - Int. J. Onl. Eng. VL - 14 IS - 05 SE - Papers DO - 10.3991/ijoe.v14i05.8640 UR - https://online-journals.org/index.php/i-joe/article/view/8640 SP - pp. 42-57 AB - <span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Along with the rapid development of Web of Things, the RFID technology is widely applied in every field, but today, the great challenge we face is how to avoid information conflict and collision in the process of acquisition and treatment of massive information. It is the keystone of the study. This paper conducts a comparative analysis on different Tree-based algorithms as improved, and integrated with multiple sub-cycle response mechanism, a Multi-Response Collision Tree algorithm is proposed. And beyond that, this paper simulates and analyzed this algorithm and other improved ones. The results reveal that, compared to other algorithms, MRCT algorithm features a better performance, less recognition cycles, least query time slots on average, and ceiling throughput rate.</span> ER -