Anti-collision is one of the key technologies in RFID systems. To solve the multi-label collision problem, an algorithm based on the combination of label grouping and improved Q-value algorithm is proposed. The algorithm improves the Q-value adjustment mechanism in the original Q-value algorithm and combines it with the tag grouping algorithm to dynamically adjust the frame length to converge to the number of unidentified tags, thus solving the problem of how to maintain a high system throughput rate under a large amount of tag data. According to the simulation results, the new algorithm can increase the system throughput rate and effectively reduce the time slot overhead.


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    Titel :

    Research on Dynamic Q-value Anti-collision Algorithm Based on Tag Grouping


    Beteiligte:
    Zhang, Renqing (Autor:in) / Wang, Xiuling (Autor:in) / Chen, Jianyang (Autor:in) / Chen, Ying (Autor:in)


    Erscheinungsdatum :

    2022-10-12


    Format / Umfang :

    1489397 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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