Dynamic Grouping Frame-Slotted Aloha

be adjusted exactly to the number of tags to be identified. In this paper, we proposed a new Aloha based anti-collision algorithm which divides the tags and adjusts the frame sizes in such a manner as to always keep the system efficiency optimal. The algorithm is also designed in order to reduce the identification time for identifying the total number of tags. As a result the proposed algorithm uses minimum number of slots to read the tags with minimum identification time. Simulation results show that the algorithm gives maximum slot efficiency with every frame maintaining the system efficiency close or equal to 36.8% compared to other anti collision algorithms.