RFID Data Redundancy Processing Method Based on Dynamic Additional Bloom Filter
A technology of bloom filter and data redundancy, applied in instruments, sensing record carriers, computing, etc., can solve the problem of rising false positive rate, and achieve the effect of improving accuracy, ensuring accuracy, and improving data quality.
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[0034] The present invention will be further explained below in conjunction with the accompanying drawings.
[0035] The environment of the present invention is Visio Studio 2017.
[0036] First, according to figure 1 The structure of the basic Bloom filter (TRBF), TRBF is composed of a three-dimensional array of k independent hash functions, the array is initialized to 0, and the three dimensions represent the tag number, reading time and the reader who read the data respectively Numbering.
[0037] Then, receive a new data x and make a redundant judgment on x, the content of the judgment includes:
[0038] (1) According to the total amount of data counted in the last round of time interval, it is judged whether it exceeds the set threshold, if it exceeds, then calculate the appropriate hash function number l and the size of the additional TRBF bit array, and set additional TRBF; if not If it exceeds, only TRBF will be used, and the additional TRBF of the last round of ti...
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