Efficient in-network redundancy filtering in RFID system integrated with wireless sensor networks

Dong Hyun Lee, Eun Mook Lee, Ali Kashif Bashir, Myong Soon Park

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

1 Citation (Scopus)

Abstract

RFID promises to revolutionize the process of identifying, tracking, and monitoring physical objects. Additionally, RFID integration with wireless sensor networks helps both in terms of scalability and low cost of networks. However, redundancies in RFID data occur due to two reasons: the methods needed to counteract the unreliable nature of radio frequency transmissions and read tags in overlapping reading ranges in RFID systems. Such redundancies increase network delay and consume limited resources of the network unnecessarily. This problem is recognized as a critical issue in RFID. To resolve this problem, we propose an efficient in-network redundancy filtering (EIRF) method in RFID-capable object tracking systems. Simulation results show that EIRF reduces network delay and processing time in filtering, while eliminating considerable amount of redundant data.

Original languageEnglish
Title of host publicationINC2010 - The International Conference on Networked Computing, Proceeding
Pages289-294
Number of pages6
Publication statusPublished - 2010 Jul 26
Event6th International Conference on Networked Computing, INC2010 - Gyeongju, Korea, Republic of
Duration: 2010 May 112010 May 13

Other

Other6th International Conference on Networked Computing, INC2010
CountryKorea, Republic of
CityGyeongju
Period10/5/1110/5/13

Keywords

  • In-network redundancy filtering
  • Network delay
  • RFID
  • Wireless sensor network

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

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  • Cite this

    Lee, D. H., Lee, E. M., Bashir, A. K., & Park, M. S. (2010). Efficient in-network redundancy filtering in RFID system integrated with wireless sensor networks. In INC2010 - The International Conference on Networked Computing, Proceeding (pp. 289-294). [5484815]