Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5227))

Included in the following conference series:

  • 1520 Accesses

Abstract

Computer networks exhibit very complex behavior. To establish an effective model for network behavior is of significance for improving the network performance. This paper presents a new network behavior model based on generalized cellular automaton. The proposed model may take into consideration the different personality and autonomy of network entities, the social interactions among entities, and the influences of concurrent emergent events in networks.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gupta, A., Stahl, D., Whinston, A.: Priority Pricing of Integrated Services Networks. Internet Economics. MIT Press, Cambridge (1997)

    Google Scholar 

  2. Shenker, S., Clark, D., Estrin, D., Herzog, S.: Pricing in Computer Networks: Reshaping the Research Agenda. Computer Communications Review 26(2), 19–43 (1996)

    Article  Google Scholar 

  3. Forti, M., Tesi, A.: New Conditions for Global Stability of Neural Networks with Application to Linear and Quadratic Programming Problems. IEEE Trans. on Circuits and Systems 42(7), 354–366 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  4. Chua, L.O., Roska, T.: The CNN Paradigm. IEEE Trans. on Circuits and Systems 40(3), 47–156 (1993)

    MathSciNet  Google Scholar 

  5. Chua, L.O., Yang, L.: Cellular Neural Networks: Theory. IEEE Trans. on Circuits and Systems 35(10), 1257–1272 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  6. Takahashi, N., Chua, L.O.: A New Sufficient Condition for Nonsymmetric CNN’s to Have a Stable Equilibrium Point. IEEE Trans. on Circuits and Systems 44(11), 1092–1095 (1997)

    Article  MathSciNet  Google Scholar 

  7. Arik, S., Tavsanoglu, V.: On the Global Asymptotic Stability of Delayed Cellular Neural Networks. IEEE Trans. on Circuits and Systems 47(4), 571–574 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  8. Grassi, G.: A New Approach to Design Cellular Neural Networks for Associative Memories. IEEE Trans. on Circuits and Systems 44(9), 835–838 (1997)

    Article  Google Scholar 

  9. Brucoli, M., Carnimeo, L., Grassi, G.: Discrete-Time Cellular Neural Networks for Associative Memorits with Learning and Forgetting Capabilities. IEEE Trans. on Circuits and Systems 42(7), 396–399 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  10. Liu, D., Michel, A.N.: Cellular Neural Networks for Asociative Memories. IEEE Trans. on Circuits and Systems 40(2), 119–121 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  11. Apostolou, N., King, R.E.: A Direct Learning Law for a Class of Auto-Assoicative Dynamic Neural Networks. IEEE Trans. on Circuits and Systems 45(5), 580–583 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  12. Mladenov, V.M., Leenaerts, D.M., Uhlmann, F.H.: Estimation of the Basin of Attractions in CNN’s. IEEE Trans. on Circuits and Systems 45(5), 571–574 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  13. Casetti, C., Meo, M.: A New Approach to Model the Stationary Behavior of TCP Connections. IEEE Infocom., 367–375 (2000)

    Google Scholar 

  14. Durbin, R., Willshaw, D.: An Analogue Approach to the Travelling Salesman Problem Using an Elastic Net Method. Nature 326, 689–691 (1997)

    Article  Google Scholar 

  15. Wong, W.S., Funkalea, C.A.: An Elastic Net Solution to Obstacle Avoidance Tour Planning. In: Proc. IEEE Int. Conf. on Neural Networks, vol. III, pp. 799–804. IEEE Press, Los Alamitos (1993)

    Google Scholar 

  16. Burr, D.J.: An Improved Elastic Net Method for the Traveling Salesman Problem. In: Proc. IEEE Int. Conf. on Neural Networks, vol. I, pp. 69–76. IEEE Press, San Diego (1988)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shuai, D. (2008). A Novel Network Behavior Model Based on Generalized Cellular Automaton. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_95

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85984-0_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85983-3

  • Online ISBN: 978-3-540-85984-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics