摘要
To improve the identification rate of environment of intensive tags, this paper presents an anti-collision algorithm for fast adjustment of the frame slot index Q. The algorithm establishes a probability distribution model to predict the number of tags and builds a relationship between the number of tags and optimal frame slot Q by curve fitting that use measured data, which can quickly achieve the optimum Q value. Experimental results show that the algorithm proposed in this paper can increase the identification rate by 10% than the original algorithm used in AS3992 platform based on EPC C1G2 protocol due to the frame size is adaptively adjustable according to the tag number.
- 出版日期2016
- 单位华东师范大学