Energy Efficient In-Network Phase RFID Data Filtering Scheme

  • Authors:
  • Dong-Sub Kim;Ali Kashif;Xue Ming;Jung-Hwan Kim;Myong-Soon Park

  • Affiliations:
  • Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea 136-713;Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea 136-713;Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea 136-713;Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea 136-713;Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea 136-713

  • Venue:
  • UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
  • Year:
  • 2008

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Abstract

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.