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Anonymous category-level joint tag estimation: poster

Published: 05 July 2016 Publication History

Abstract

Radio-frequency identification (RFID) technologies have been widely used in many applications. Tag estimation, which is to estimate the cardinality of a single tag set, is an important research topic. This paper expands the estimation research as follows: It performs joint estimation between two tag sets, and more importantly the estimation is fine-grained in an effort to accommodate common practical scenarios, where each tag set consists of tags belonging to different categories. For any two given tag sets, we want to know the detailed information about the joint property of each category, instead of just the aggregate information of the whole sets. Furthermore, due to the open nature of RFID communications, it is often desirable that category-level joint estimation can be performed in an anonymous way without revealing the tags' IDs. To support these requirements, we develop a new technique called mask bitmap that can encode a tag set without requiring the tags to report their IDs or category IDs. Any two mask bitmaps that encode different tag sets can be combined to perform category-level joint estimation. Simulation results confirm that the proposed solution can yield accurate category-level estimates and preserve tags' anonymity.

References

[1]
B. Chen, Z. Zhou, and H. Yu. Understanding RFID Counting Protocols. Proc. of ACM MOBICOM, pages 291--302, 2013.
[2]
H. Liu, W. Gong, L. Chen, W. He, K. Liu, and Y. Liu. Generic Composite Counting in RFID Systems. Proc. of IEEE ICDCS, pages 597--606, 2014.

Cited By

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  • (2017)Lightweight Anonymous Authentication Protocols for RFID SystemsIEEE/ACM Transactions on Networking (TON)10.1109/TNET.2016.263151725:3(1475-1488)Online publication date: 1-Jun-2017
  • (2016)Cache contention aware Virtual Machine placement and migration in cloud datacenters2016 IEEE 24th International Conference on Network Protocols (ICNP)10.1109/ICNP.2016.7784447(1-10)Online publication date: Nov-2016
  • (2016)Efficient anonymous category-level joint Tag estimation2016 IEEE 24th International Conference on Network Protocols (ICNP)10.1109/ICNP.2016.7784439(1-10)Online publication date: Nov-2016

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Published In

cover image ACM Conferences
MobiHoc '16: Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing
July 2016
421 pages
ISBN:9781450341844
DOI:10.1145/2942358
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 July 2016

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Author Tags

  1. RFID
  2. anonymity
  3. category level
  4. joint estimation

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Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Cited By

View all
  • (2017)Lightweight Anonymous Authentication Protocols for RFID SystemsIEEE/ACM Transactions on Networking (TON)10.1109/TNET.2016.263151725:3(1475-1488)Online publication date: 1-Jun-2017
  • (2016)Cache contention aware Virtual Machine placement and migration in cloud datacenters2016 IEEE 24th International Conference on Network Protocols (ICNP)10.1109/ICNP.2016.7784447(1-10)Online publication date: Nov-2016
  • (2016)Efficient anonymous category-level joint Tag estimation2016 IEEE 24th International Conference on Network Protocols (ICNP)10.1109/ICNP.2016.7784439(1-10)Online publication date: Nov-2016

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