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HCO-Based RFID Network Planning

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Bio-inspired Computing: Theories and Applications (BIC-TA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 952))

Abstract

This work presents the application of Hydrologic Cycle Optimization (HCO) for RFID network planning (RNP). An integrated model is presented in this paper to evaluate the RNP’s fitness which lays emphasis on coverage, load balance, interference and economic efficiency of the RFID system. The fitness function based on this integrated model uses the power of the tag received from every reader replacing the previous one–distance to calculate the coverage and interference. This substitute makes our model accurately reflects the real situation. HCO algorithm is used to find the optimal position and power of the readers with the minimum value of the fitness function based on the model above. The solution of RNP is optimized by searching for the best value of the parameters (position and power) which are mathematically denoted as a vector whose length is 3N (N is the readers’ count). The encoding of this vector consists of the coordinates of each reader and their radiated power. The first 2N length is the coordinates of each reader, and the rest is their power. In the proceeding of finding the optimal position and power, the four factors mentioned above are considered and the best individual will be tracked. To demonstrate the effectiveness and efficiency of HCO, we make a comparison among HCO, PSO, GA, SA-ES. As the result indicates, the HCO algorithms has the best performance of RNP among all the algorithms both the best and the worst situation.

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Author information

Authors and Affiliations

  1. Network Engineering, South China Normal University, Guangzhou, 510630, China

    Jun Wang

  2. Department of Information Management, National Yunlin University of Science and Technology, Douliu, Yunlin, 64002, Taiwan

    Jinsong Chen

  3. College of Management, Shenzhen University, Shenzhen, 518060, China

    Qianying Liu

  4. Department of Computer Science, University of Surrey, Guilford, GU2 7XH, UK

    Jia Liu

Authors
  1. Jun Wang
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  2. Jinsong Chen
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  3. Qianying Liu
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  4. Jia Liu
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Corresponding author

Correspondence to Qianying Liu .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Jianyong Qiao

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Xinchao Zhao

  3. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  4. Beijing University of Posts and Telecommunications, Beijing, China

    Xingquan Zuo

  5. Anhui University, Hefei, China

    Xingyi Zhang

  6. City University of Hong Kong, Kowloon, Hong Kong

    Qingfu Zhang

  7. Beijing University of Posts and Telecommunications, Beijing, China

    Shanguo Huang

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Wang, J., Chen, J., Liu, Q., Liu, J. (2018). HCO-Based RFID Network Planning. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-13-2829-9_40

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  • DOI: https://doi.org/10.1007/978-981-13-2829-9_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2828-2

  • Online ISBN: 978-981-13-2829-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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