Skip to main content

The Design of Data-Link Equipment Redundant Strategy

  • Conference paper
Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4234))

Included in the following conference series:

  • 2208 Accesses

Abstract

A framework model proposed in this paper is a data-link Equipment Redundant Strategy based on reliability theory. The strategy combined with the normal maintenance could greatly improve the performance of the network system. The static-checking and policy of authentication mechanism ensure the running network without any error. The redundant equipments are independent but are capable of communication with each other when they work their actions. The model is independent of specific application environment, thus providing a general-purpose framework for fault diagnosis. An example is given to express the calculating method.

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 139.00
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. Othmar, K.: Network Troubleshooting. Agilrnt Technologies, Berlin (2002)

    Google Scholar 

  2. Jun, Z., Hong, L., et al.: A New Analysis Method on the Hidden Terminals in Self—Organized TDMA VHF Datalink. Electric Journal 12(29), 128–132 (2001)

    Article  Google Scholar 

  3. Qian, F., Jia, Y., Huang, Y., et al.: A Dynamic And Fault-Tolerable Algorithm on Redundant Service Performance Improvement. Journal of Software 12(6), 523–528 (2001)

    Google Scholar 

  4. Jacobson, V.: Congestion Avoidance and Control. IEEE/ACM Transaction Networking 6(3), 314–329 (2000)

    Google Scholar 

  5. Caserri, C., Meo, M.: A new approach to model the stationary behavior of TCP connections. In: Proc IEEE INFOCOM 2000, Tel Aviv, Israel, IEEE Computer Society, CA (2000)

    Google Scholar 

  6. Veres, A., Boda, M.: The chaotic nature of TCP congestion control. In: Proc INFOCOM 2000, Tel Aviv, Israel, IEEE Computer Society, CA (2000)

    Google Scholar 

  7. Floyd, S., Fall, K.: Promoting the use of End-to-End congestion control in the Internet. IEEE/ACM Transaction Networking 7(4), 458–472 (2002)

    Article  Google Scholar 

  8. Harris, B., Hunt, R.: TCP/IP security threats and attack methods. Computer Communications 22(10), 885–897 (2004)

    Article  Google Scholar 

  9. Schuba, C.L., Krsul, I.V.: Analysis of denial of service attack on TCP. In: Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy (2000)

    Google Scholar 

  10. Hamann, T., Walrand, J.: A new fair window algorithm for ECN capable TCP(New-ECN). In: Proc IEEE INFOCOM 2000, Tel Aviv, Israel, IEEE Computer Society, CA (2000)

    Google Scholar 

  11. Dan, C., Hua-Can, H., Hui, W.: A new t-norm and its application in fuzzy control. In: Proc WCICIA 2000, Hefei, China, pp. 1284–1289 (2000)

    Google Scholar 

  12. Yager, R.: OWA neurons: A new class of fuzzy neurons. In: Proc IEEE-FUZZ, pp. 2316–2340 (1992)

    Google Scholar 

  13. Pierre-Yves, G.: Neuro-fuzzy logic. In: Proc. IEEE-FUZZ, pp. 512–518 (2003)

    Google Scholar 

  14. Pedrycz, W.: Fuzzy neural networks and neuro computations. Fuzzy Sets and Systems 56(1), 1–28 (1992)

    Article  Google Scholar 

  15. Pedrycz, W.: Logic-based neurons: Extensions, uncertainty representation and development of fuzzy controllers. Fuzzy Sets and Systems 66(1), 251–266 (2004)

    Google Scholar 

  16. Bailey, S.A., Ye-Hwa, C.: A two layerd network using the OR/AND neuron. In: Proc. IEEE-FUZZ, pp. 1566–1571 (1999)

    Google Scholar 

  17. Averkin, A.N.: Decision making based on multivalued logic and fuzzy logic, architectures for semiotic modeling and situation analysis in large complex systems. In: Proc. ISIC Workshop, Monterey, pp. 871–875 (2001)

    Google Scholar 

  18. Hua-Can, H., et al.: Generalized logic in experience thinking. Science in China(E) 39(3), 225–234 (1996)

    Google Scholar 

  19. Buckley, J.J., Siler, W.: A new t-norm. Fuzzy Sets and Systems 16(1), 283–290 (2004)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Qian-Mu, L., Man-Wu, X., Hong, Z., Feng-Yu, L. (2006). The Design of Data-Link Equipment Redundant Strategy. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_60

Download citation

  • DOI: https://doi.org/10.1007/11893295_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46484-6

  • Online ISBN: 978-3-540-46485-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics