Modeling sovereign RFID data streams in collaborative traceable networks

Yanbo Wu*, Quan Z. Sheng, Rui Zeng, Jiangang Ma

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution


In the emerging environment of the Internet of Things (IoT), through the connection of billions of radio frequency identification (RFID) tags and sensors to the Internet, applications will generate an unprecedented amount of transactions and data that requires novel approaches in RFID data stream processing and management. Unfortunately, it is difficult to maintain a distributed model without a shared directory or structured index. In this paper, we present a fully distributed model for sovereign RFID data streams. This model combines Tilted Time Frame and Histogram to represent the patterns of object flows. It is efficient in space and can be stored in main memory. The model is built on top of an unstructured P2P overlay. To reduce the overhead of distributed data acquisition, we further propose algorithms that use statistically optimistic number of network calls to maintain the model. The scalability and efficiency of the proposed model are demonstrated through an extensive set of experiments. 

Original languageEnglish
Title of host publicationWeb Information Systems Engineering - WISE 2012
Subtitle of host publication13th International Conference, Paphos, Cyprus, November 28-30, 2012. Proceedings
EditorsX. Sean Wang, Isabel Cruz, Alex Delis, Guangyan Huang
Place of PublicationHeidelberg
PublisherSpringer, Springer Nature
Number of pages14
ISBN (Print)9783642350627
Publication statusPublished - 2012
Externally publishedYes
Event13th International Conference on Web Information Systems Engineering, WISE 2012 - Paphos, Cyprus
Duration: 28 Nov 201230 Nov 2012

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Conference on Web Information Systems Engineering, WISE 2012


  • Internet of Things
  • Radio Frequency Identification (RFID)
  • RFID data streams
  • scalability
  • traceable networks

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