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Conference Papers Year : 2017

An Improved Algorithm for Redundant Readers Elimination in Dense RFID Networks

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Xin Zhang
  • Function : Author
  • PersonId : 1033411
Zhiying Yang
  • Function : Author
  • PersonId : 1033412

Abstract

In a dense RFID sensor network system, in order to prolong the life of the sensor network and reduce the interference between readers and the problem of eliminating redundant readers has always been the concern of the people. Now there are many algorithms and optimization technology to eliminate redundant reader in the RFID system. Inspired by the previous algorithms such as SCBA and RRE, this paper presents an improved algorithm, ICBA (Improved Count Based Algorithm) which based on the RRE and SCBA, using the count of covered tags and the Greedy Algorithm to eliminate redundant readers. The simulation experiments show that the algorithm ICBA can eliminate more redundancy readers than other algorithms. The same case, ICBA algorithm compared with other algorithm is increased by 3.2%–15% of redundant reader eliminating rate.
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Dates and versions

hal-01820930 , version 1 (22-06-2018)

Licence

Attribution - CC BY 4.0

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Xin Zhang, Zhiying Yang. An Improved Algorithm for Redundant Readers Elimination in Dense RFID Networks. 2nd International Conference on Intelligence Science (ICIS), Oct 2017, Shanghai, China. pp.268-278, ⟨10.1007/978-3-319-68121-4_29⟩. ⟨hal-01820930⟩
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