A Temporal and Spatial Data Redundancy Processing Algorithm for RFID Surveillance Data

Table 2

Algorithms based on the Bloom filter.

Algorithm	Characteristics
Time Bloom Filter (TBF)/Time Interval Bloom Filter (TIBF) [21]	Reading timestamp of stored data to determine whether it is redundant data (TIBF stores the timestamp of the start and end)
Compared Bloom Filter (CBF) [7]	Focus on data filtering in the physical space dimension
Time and Space Bloom Filter (TSBF) [22]	Judges the mobility of the tag with consideration of the time-space characteristics
Approximate Probability Synthesis Bloom Filter (PSBF) [23]	Not only filters redundant probability events but also handles positional motion, even in overlapping areas