Efficient Data Interpretation and Compression over RFID Streams

  • Authors:
  • Richard Cocci;Thanh Tran;Yanlei Diao;Prashant Shenoy

  • Affiliations:
  • Department of Computer Science, University of Massachusetts Amherst. rcocci@cs.umass.edu;Department of Computer Science, University of Massachusetts Amherst. ttran@cs.umass.edu;Department of Computer Science, University of Massachusetts Amherst. yanlei@cs.umass.edu;Department of Computer Science, University of Massachusetts Amherst. shenoy@cs.umass.edu

  • Venue:
  • ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
  • Year:
  • 2008

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Abstract

Despite its promise, RFID technology presents numerous challenges, including incomplete data, lack of location and containment information, and very high volumes. In this work, we present a novel data interpretation and compression substrate over RFID streams to address these challenges in enterprise supply-chain environments. Our results show that our inference techniques provide good accuracy while retaining efficiency, and our compression algorithm yields significant reduction in data volume.