Abstract:In the large-scale Radio Frequency Identification (RFID) system, the estimated time of current tag estimation algorithms increase linearly with the increase of tags, and the deviation is large. Regarding these problems, a new estimation algorithm based on 0-1 distribution was proposed. By using the feature of 0-1 distribution, the algorithm set the specific frame length and selected flag to choose the collection of tags which responded to the command of query. In this way, estimation time was reduced to the logarithmic level of tag number and the deviation was reduced through picking numerous average values randomly. Compared with other algorithms, the simulation results show that the proposed algorithm drops deviation at least by 0.9%, and has less fluctuation.