Energy efficiency in the network using radio frequency identification

Recognition through radio waves is another achievement of the integration of the computer and telecommunications industry, which in the future can play a key role in facilitating the daily work of human beings. The main purpose of this technology is to identify people and products automatically. The research findings showed that in the proposed method, the number of scrambling times to map an identifier to the Bloom filter has a direct effect on the number of collisions and time lapse of tags. The number of collisions also increases. The length of the bloom filter decreases the efficiency of the system and the number of collisions and the time delay of tag identification increase. However, this parameter does not affect the number of idle slots and energy consumption. Comparison of the proposed method with the three methods of ATSA, DyATSA and DyImATSA also shows that the number of idle slots, time delay of tag identification, energy consumption and number of collisions in the proposed method are less than similar methods so that the number of collisions compared to ATSA and DyATSA are at least ۳۰% lower than the DyImATSA method by nearly ۲۵%. However, the efficiency of the proposed method has increased compared to other methods.

Keywords:

Radio Frequency Identification (RFID) , energy consumption , optimization