Temporal management of RFID data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Adaptive cleaning for RFID data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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One of the limitations that prevent proliferation of RFID technology is redundant data transmission within the network usually caused by unreliability of readers and duplicate readings generated by adjacent readers. Such redundancies unnecessarily consume resources of network and depreciate the performance of RFID installation. In this paper, we propose a CLIF, an energy-efficient filtering scheme that detects the in-network redundant data and eliminates it. The simulation results show that the CLIF significantly reduces the number of comparisons required for detecting duplicates while it achieves relatively high duplicate data elimination ratio considering the location of reader. Consequently, CLIF reduces the considerable amount of transmission within the network.