Research Article
A Temporal and Spatial Data Redundancy Processing Algorithm for RFID Surveillance Data
Table 1
Weaknesses of existing approaches for filtering redundant RFID data.
| Approach | Weakness |
| RFID Cube [11] | Needs to wait for all readings to be completed before duplicate readings can be filtered | Sliding window [12] | Subject to a selection of parameters and needs to scan along the sliding windows for every new reading | Extensible receptor Stream Processing (ESP) and pipelined data cleaning (PDC) [14, 15] | Complex filtering framework, delayed process, and not suitable for dynamic tag filtering | Finite state machine [16] | Limited by scenario and lack of generalization ability | Dynamic Bayesian networks (DBN) [17] | Cleaning effect of the dynamic tag is not obvious | Bloom filter [19, 20] | Does not allow deletion and filtering in a single dimension |
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