Energy efficient algorithms for the RFID estimation problem

  • Authors:

  • Tao Li;Samuel Wu;Shigang Chen;Mark Yang

  • Affiliations:

  • Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL;Department of Epidemiology and Health Policy Research and Department of Statistics, University of Florida, Gainesville, FL;Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL;Department of Statistics, University of Florida, Gainesville, FL

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

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Abstract

RFID has been gaining popularity for inventory control, object tracking, and supply chain management in warehouses, retail stores, hospitals, etc. Periodically and automatically estimating the number of RFID tags deployed in a large area has many important applications in inventory management and theft detection. The prior work focuses on designing time-efficient algorithms that can estimate tens of thousands of tags in seconds. We observe that, for a RFID reader to access tags in a large area, active tags are likely to be used. These tags are batterypowered and use their own energy for information transmission. However, recharging batteries for tens of thousands of tags is laborious. Unlike the prior work, this paper studies the RFID estimation problem from the energy angle. Our goal is to reduce the amount of energy that is consumed by the tags during the estimation procedure. We design several energy-efficient probabilistic algorithms that iteratively refine a control parameter to optimize the information carried in the transmissions from the tags, such that both the number and the size of the transmissions are minimized.