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Clock Synchronization Protocol Using Resonate-and-Fire Type of Pulse-Coupled Oscillators for Wireless Sensor Networks

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Neural Information Processing (ICONIP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7667))

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Abstract

We present a system of pulse-coupled oscillators (PCOs) based on the resonate-and-fire neuron (RFN) model for an application to clock synchronization protocol for wireless sensor networks. Firstly, we show a novel type of PCO derived from the RFN model and its Type I/Type II phase response properties. Secondly, we demonstrate that global phase synchronization in a network of the RFNs as PCOs are robust against transmission delays. Finally, we propose a possible scheme for compensation of transmission delays.

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Author information

Authors and Affiliations

  1. Advanced Electronics Research Division, INAMORI Frontier Research Center, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

    Kazuki Nakada

  2. Graduate School of Information Sciences, Tohoku University, Aramaki aza Aoba 6-3-09, Aoba-ku, Sendai, 980-8579, Japan

    Keiji Miura

Authors
  1. Kazuki Nakada
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  2. Keiji Miura
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Editor information

Editors and Affiliations

  1. Texas A&M University at Qatar, Education City, P.O. Box 23874, Doha, Qatar

    Tingwen Huang

  2. Department of Control Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, 430074, Wuhan, Hubei, China

    Zhigang Zeng

  3. College of Computer Science, Chongqing University, 174 Shazhengjie Street, 400044, Chongqing, China

    Chuandong Li

  4. Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    Chi Sing Leung

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© 2012 Springer-Verlag Berlin Heidelberg

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Nakada, K., Miura, K. (2012). Clock Synchronization Protocol Using Resonate-and-Fire Type of Pulse-Coupled Oscillators for Wireless Sensor Networks. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34500-5_74

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  • DOI: https://doi.org/10.1007/978-3-642-34500-5_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34499-2

  • Online ISBN: 978-3-642-34500-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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