Efficient tag identification in mobile RFID systems

  • Authors:
  • Lei Xie;Bo Sheng;Chiu C. Tan;Hao Han;Qun Li;Daoxu Chen

  • Affiliations:
  • State Key Laboratory of Novel Software Technology, Department of Computer Science and Technology, Nanjing University, China and College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;State Key Laboratory of Novel Software Technology, Department of Computer Science and Technology, Nanjing University, China

  • Venue:
  • INFOCOM'10 Proceedings of the 29th conference on Information communications
  • Year:
  • 2010

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Abstract

In this paper we consider how to efficiently identify tags on the moving conveyor. Considering conditions like the path loss and multi-path effect in realistic settings, we first propose a probabilistic model for RFID tag identification. Based on this model, we propose efficient solutions to identify moving RFID tags, according to the fixed-path mobility on the conveyor. A dynamic program based solution and an adaptive solution are proposed to select optimized frame sizes during the query cycles. Simulation results indicate that by leveraging the probabilistic model our solutions can achieve much better performance than using parameters for the ideal propagation situations.