Multi-tag cleaning software for cyclic redundant data stream based on RFID in cloud computing Online publication date: Tue, 16-Feb-2021
by Yujiang Fei
International Journal of Information and Communication Technology (IJICT), Vol. 18, No. 2, 2021
Abstract: In order to overcome the problems of poor accuracy and recall and low data integrity existing in the current research results of multi-tag cleaning for cyclic redundant data streams, this paper designs a multi-tag cleaning software for cyclic redundant data streams in cloud computing based on RFID. According to the factor graph model, the software models cloud computing network, infers the overall quality of network link connection by cyclic reliability propagation method, and realises data acquisition by probability graph reasoning. The improved RFID reader reads the information of the tag data to realise the preliminary processing of the cyclic redundant data stream. Multi-label cleaner and RFID reader cooperate to complete multi-label cleaning of cyclic redundant data stream under cloud computing. The experimental results show that the proposed multi-tag cleaning software for cyclic redundant data streams has higher accuracy and recall than the results of references, and has higher data integrity.
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