Interference cancellation-based RFID tags identification

Raju Kumar, Thomas F.La Porta, Gaia Maselli, Chiara Petrioli

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

10 Scopus citations

Abstract

In this paper we investigate interference cancellation to faster identify tags in RFID networks. We explore how interference cancellation can be applied to ALOHA and tree-based iden- tification schemes, its limitations, the extent of achievable improvements, and the overhead incurred to obtain effective gains. Analytical and simulation results show that for an ALOHA-based scheme interference cancellation allows us to identify nearly 23% of tags without directly interrogating them. This speeds up tag identification (over 20% faster) while producing little overhead. For a tree-based scheme nearly 50% of the tags are identified by exploiting interference cancellation, resulting in an improvement of the identification rate of over 20%. Finally, we propose an enhancement of the tree-based scheme with interference cancellation that achieves a further identification speed up of 50%.

Original languageEnglish (US)
Title of host publicationMSWiM'11 - Proceedings of the 14th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems
Pages111-118
Number of pages8
DOIs
StatePublished - 2011
Event14th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM'11 - Miami, FL, United States
Duration: Oct 31 2011Nov 4 2011

Publication series

NameMSWiM'11 - Proceedings of the 14th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems

Other

Other14th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM'11
Country/TerritoryUnited States
CityMiami, FL
Period10/31/1111/4/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Interference cancellation-based RFID tags identification'. Together they form a unique fingerprint.

Cite this