To solve the problem which the interval number of accessing label will increase by exponent when the number of label increases for the traditional ALOHA algorithm, a new algorithm about frame time interval upswing algorithm was put forward. This new algorithm absorbed the strongpoint of the dynamic time interval algorithm and the problem which the system efficiency begin debases when the number of system label became quite big was solved. The system capability was enhanced accordingly, through limiting the value of length of frame and M. The advantage and disadvantage of the performance of three algorithm (EDFSA, BFSA and DFSA) were compared through the simulation experiment. It was concluded that time cost of EDFSA algorithm increased 85% and 92% comparing respectively with the BFSA algorithm and the DFSA algorithm when identifying 1000 tags,and higher efficiency of EDFSA algorithms will be obtained when identifying more tags.
