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An Efficient RFID Reader Network Planning Strategy Based on P2P Computing

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2016)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 1))

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Abstract

Radio Frequency identification (RFID) technology has been used in many areas, which needs to deploy many readers in the RFID network. Extra readers in the network will consume more power, resulting in a waste of RFID network resources. Therefore, the elimination of redundant readers is important to optimize an RFID network deployment. RFID reader redundant deployment optimization can ensure that users use the minimum number of readers to cover a specific range of all tags. Peer-to-peer (P2P) computing or networking is a distributed application architecture that partitions tasks or workloads between peers. P2P based RFID network is a novel distributed systems. In this paper, an efficient redundant reader elimination strategy is discussed, which is based on the P2P-based RFID reader network.

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Author information

Authors and Affiliations

  1. School of Computer Science & Technology/School of software, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    He XU, Weiwei SHEN, Peng LI & Cong QIAN

  2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, 210003, China

    He XU, Weiwei SHEN, Peng LI & Cong QIAN

Authors
  1. He XU
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  2. Weiwei SHEN
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  3. Peng LI
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  4. Cong QIAN
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Corresponding author

Correspondence to He XU .

Editor information

Editors and Affiliations

  1. Campus Nord,Ed. Omega (Room 109), Technical University of Catalonia Campus Nord,Ed. Omega (Room 109), Barcelona, Spain

    Fatos Xhafa

  2. Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  3. Federico II, Università degli Studi di Napoli Federico II, Napoli, Italy

    Flora Amato

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XU, H., SHEN, W., LI, P., QIAN, C. (2017). An Efficient RFID Reader Network Planning Strategy Based on P2P Computing. In: Xhafa, F., Barolli, L., Amato, F. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-49109-7_36

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  • DOI: https://doi.org/10.1007/978-3-319-49109-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49108-0

  • Online ISBN: 978-3-319-49109-7

  • eBook Packages: EngineeringEngineering (R0)

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