Skip to main content

Summary and Conclusions

  • Chapter
  • First Online:
Congestion Control in Data Transmission Networks

Part of the book series: Communications and Control Engineering ((CCE))

  • 1095 Accesses

Abstract

Watching how ubiquitous communication networks have become in recent years, there is no question about their importance for social life and modern economy. They provide means of information sharing and data exchange basically anywhere, anytime. However, the numerous advantages of being able to quickly communicate thoughts and ideas over large distances, and gain access to remote resources, can only be achieved if the communication system is administered in a proper way. A major impact on the condition of a network is attributed to the mechanisms of control. They should allow efficient resource sharing according to the set of constraints specified for a given network (such as the channel capacity). More importantly, however, the implemented control methods should provide appropriate reaction to the dynamically changing networking conditions. In this way, one may avoid bottlenecks, loss of data, and guarantee adequate service level.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ignaciuk P, Bartoszewicz A (2008) Linear quadratic optimal discrete time sliding mode controller for connection oriented communication networks. IEEE Trans Ind Electron 55:4013–4021

    Article  Google Scholar 

  2. Ignaciuk P, Bartoszewicz A (2009) Linear quadratic optimal sliding mode flow control for connection-oriented communication networks. Int J Robust Nonlinear Control 19:442–461

    Article  MathSciNet  MATH  Google Scholar 

  3. Ignaciuk P, Bartoszewicz A (2009) Discrete-time linear-quadratic (LQ) optimal and nonlinear flow control in multi-source connection-oriented communication networks. Eur Trans Telecommun 20:679–688

    Article  Google Scholar 

  4. Ignaciuk P, Bartoszewicz A (2010) LQ optimal sliding mode supply policy for periodic review inventory systems. IEEE Trans Autom Control 55:269–274

    Article  MathSciNet  Google Scholar 

  5. Ignaciuk P, Bartoszewicz A (2010) Linear-quadratic optimal control strategy for periodic-review inventory systems. Automatica 46:1982–1993

    Article  MathSciNet  MATH  Google Scholar 

  6. Ignaciuk P, Bartoszewicz A (2011) Discrete-time sliding-mode congestion control in multi-source communication networks with time-varying delay. IEEE Trans Control Syst Technol 19:852–867

    Article  Google Scholar 

  7. Ignaciuk P, Bartoszewicz A (2012) LQ optimal and reaching law based sliding modes for inventory management systems. Int J Syst Sci 43:105–116

    Article  MathSciNet  Google Scholar 

  8. Ignaciuk P, Bartoszewicz A (2012) LQ optimal sliding-mode supply policy for periodic-review perishable inventory systems. J Franklin Inst 439:1561–1582

    Google Scholar 

  9. Ignaciuk P, Bartoszewicz A (2012) Linear-quadratic optimal control of periodic-review perishable inventory systems. IEEE Trans Control Syst Technol. doi:10.1109/TCST.2011.2161086

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this chapter

Cite this chapter

Ignaciuk, P., Bartoszewicz, A. (2013). Summary and Conclusions. In: Congestion Control in Data Transmission Networks. Communications and Control Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-4147-1_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4147-1_9

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4146-4

  • Online ISBN: 978-1-4471-4147-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics