DFSA sampling training rules anti-collision algorithm based on tags grouped
LI Wei-we · Jisuanji yingyong yanjiu · 2013
This paper mainly studied the problem of tag collision.Firstly,it analyzed and associated the existing grouped algorithm principle with its available developing problems with the research of the relationship of the characteristic of label distribution and related data structure in order to put forward the corresponding improvement scheme.Through the study of the process of grouping,it proposed the DFSA sampling training rules anti-collision algorithm based on tags grouped.At last,it verified the available of this method by the simulation results.The experiment shows that this algorithm not only does not affect the success rate of recognition,but also can improve the system recognition time,reduce the system computational complexity and system power consumption.