Optical Memory and Neural Networks

, Volume 26, Issue 2, pp 110–116 | Cite as

A model of pulsed oscillator network and the perspectives of its application to the problems of information routing in wireless sensor networks

  • M. G. Kuzmina
  • E. S. Grichuk
  • E. A. Manykin


Development of performance principles of wireless sensor networks (WSN) and the methods of information routing in the networks, providing a capability of self-organized and automatic style of the WSN network work, is currently of substantial interest. The attraction of associated model of pulsed oscillator networks seems to be helpful for the design of adaptive synchronization-based information routing in the WSN. An oscillatory network model with pulsed oscillator dynamics and pulsed oscillator interaction is proposed. The initial version of information transfer in the WSN with the help of synchronization of an associated oscillatory network is discussed.


pulsed oscillator networks synchronization wireless sensor networks synchronization-based information routing in WSN 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Berger, R., Introduction to Wireless Sensor Networks, NI Technical Symposium, 2009.Google Scholar
  2. 2.
    Hill, J.L., System architecture for Wireless Sensor Networks, PhD Thesis, UC Berkeley, 2003.Google Scholar
  3. 3.
    Hadjila, M., Guyennet, H., and Feham, M., A chain-based routing protocol to maximize the lifetime of Wireless Sensor Networks, Wireless Sensor Network, 2013, vol. 5, pp. 116–120.CrossRefGoogle Scholar
  4. 4.
    Guioufi, A., Nasri, N., Farah, A.B., and Kachouri, A., Clustering algorithm for small-scale Wireless Sensor Networks, Wireless Sensor Network, 2013, vol. 5, pp. 67–75.CrossRefGoogle Scholar
  5. 5.
    Hamzi, A., Koudil, M., Jamont, J.P., and Occello, M., Multi-agent architecture for the design of WSN application, Wireless Sensor Network, 2013, vol. 5, pp. 14–25.CrossRefGoogle Scholar
  6. 6.
    Lee, H., Jang, M., and Chang, J.W., A new energy-efficient cluster-based routing protocol using a representative part in Wireless Sensor Networks, Int. J. Distributed Sensor Networks, 2014, Article ID 527928.Google Scholar
  7. 7.
    Serpedin, E. and Chaudhan, Q.M., Synchronization in Wireless Sensor Networks, Cambridge Univ. Press, 2009.Google Scholar
  8. 8.
    Au, Z. et al., Linear pulsed-coupled oscillators model–A new approach for time synchronization in wireless sensor networks, Wireless Sensor Network, 2010, vol. 2, pp. 108–114.CrossRefGoogle Scholar
  9. 9.
    Grichuk, E.S., Kuzmina, M.G., and Manykin, E.A., Selective segmentation of real images via oscillatory network approach, Proc. International Conference “Neuroinformatics 2007”, 2007, vol. 3, pp. 235–244 [in Russian].Google Scholar
  10. 10.
    Grichuk, E.S., Kuzmina, M.G., and Manykin, E.A., Object selection in visual scene via oscillatory network with controllable coupling and self-organized performance, Opt. Mem. Neural Networks (Inform. Optics), 2011, vol. 20, no. 2, pp. 113–119.CrossRefGoogle Scholar
  11. 11.
    Kuzmina, M., Manykin, E., and Grichuk, E.S., Oscillatory Neural Networks in Problems of Parallel Information Processing, Berlin/Boston: Walter DeGruyter, 2013.Google Scholar

Copyright information

© Allerton Press, Inc. 2017

Authors and Affiliations

  • M. G. Kuzmina
    • 1
  • E. S. Grichuk
    • 2
  • E. A. Manykin
    • 2
  1. 1.Federal Research Center Keldysh Institute of Applied Mathematics RASMoscowRussia
  2. 2.National Research Center “Kurchatov Institute”MoscowRussia

Personalised recommendations