Skip to main content
SpringerLink
Log in

Autonomous Resource Allocation and Strategy Optimization in Wireless Networks

  • Chapter
  • First Online:
User-Centric Networking

Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

In this paper, we propose an autonomous control framework, where the focus remains on autonomous resource utilization and strategy optimization. The control framework aims at an immensely dynamic, time varying, and less predictable network environment. The first main motivation of the proposal is to eliminate redundant resource utilization for specific network objectives while reducing the network response time. To this end, the decision making engines of the control framework characterize the network environment in terms of the correlation with specific network objectives and improve the resource utilization accordingly. The second and the last motivation is to match network strategies with different environmental conditions in terms of impact rates on the environment. We make use of Partially Observable Markov Decision Processes (POMDP) based control loop to improve the network strategies against alarm conditions for different environmental conditions. The control framework is implemented on WLAN APs and the proposed approach is validated by means of real implementation and simulation of different network scenarios.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
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. IBM (2004) Understand the autonomic manager concept. Available http://www.ibm.com/developerworks/library/ac-amconcept/. Accessed 21 Oct 2004

  2. Chaparadza R, Ciavaglia L, Wodczak M, Chen C-C, Lee B, Liakopoulos A, Zafeiropoulos A, Mancini E, Mulligan U, Davy A, Quinn K, Radier B, Alonistioti N, Kousaridas A, Demestichas P, Tsagkaris K, Vigoureux M, Vreck L, Wilson M, Ladid L (2009) Etsi industry specification group on autonomic network engineering for the self-managing future internet (etsi isg afi). In: Vossen G, Long D, Yu J (eds) Web information systems engineering—WISE 2009, ser LNCS, vol 5802. Springer, New York, pp 61–62

    Google Scholar 

  3. Uzsak F, Simon C (2011) Monitoring system for EFIPSANS networks. In: 34th International Conference on IEEE Telecommunications and Signal Processing (TSP 2011)

    Google Scholar 

  4. ETSI (2011) Etsi gs afi 001: autonomic network engineering for the selfmanaging future internet (afi): scenarios, use cases, and requirements for autonomic/self-managing future internet. This ETSI Specification was published by ETSI

    Google Scholar 

  5. Chaparadza R (2008) Requirements for a generic autonomic network architecture (gana), suitable for standardizable autonomic behaviour specifications of decision-making-elements (dmes) for diverse networking environments. In: Annual review of communications, vol 61. Springer, Berlin

    Google Scholar 

  6. ANA (2006–2009) European union information society technologies framework programme 6 project ana 2006–2009. Available http://www.ana-project.org/

  7. Raymer D, van der Meer S, Strassner J (2008) From autonomic computing to autonomic networking: an architectural perspective. In: Fifth IEEE workshop on engineering of autonomic and autonomous systems, EASE 2008, pp 174–183

    Google Scholar 

  8. Strassner J (2007) The role of autonomic networking in cognitive networks. Wiley, New York, pp 23–52. Available http://dx.doi.org/10.1002/9780470515143.ch2

  9. Mihailovic A (2009) First report on system capabilities, functional entities definition and system architecture for cognitive management of future internet elements, deliverable d1.2. Available https://www.ict-selfnet.eu

  10. Consern home page (2008–2010) Available https://www.ict-selfnet.eu

  11. van den Berg J, Litjens R, Eisenblatter A et al (2008) Socrates: self-optimisation and self-configuration in wireless networks. COST 2100 TD(08)422, Wroclaw, 6–8 Feb 2008

    Google Scholar 

  12. Scully N et al (2008) Use cases for self-organising networks, deliverable d2.1. Available http://www.fp7-socrates.org/

  13. Scully N et al (2009) Review of use cases and framework, deliverable d2.5. Available http://www.fp7-socrates.org/

  14. Scully N et al (2009) Review of use cases and framework ii, deliverable d2.6. Available http://www.fp7-socrates.org/

  15. Costa R, Cachulo N, Cortez P (2009) An intelligent alarm management system for large-scale telecommunication companies. In: Lopes L, Lau N, Mariano P, Rocha L (eds) Progress in artificial intelligence, vol 5816. ser LNCS, Springer, New York, pp 386–399

    Google Scholar 

  16. Famaey J, Latrea S, Strassner J, De Turck F (2010) A hierarchical approach to autonomic network management. In: Network operations and management symposium workshops (NOMS Wksps), 2010 IEEE/IFIP, April 2010, pp 225–232

    Google Scholar 

  17. Lim K-S, Adam C, Stadler R (2004) Decentralizing network management. IEEE Electron Trans Netw Serv Manage (eTNSM) 1.2

    Google Scholar 

  18. Brunner M, Dudkowski D, Mingardi C, Nunzi G (2009) Probabilistic decentralized network management. In: IFIP/IEEE international symposium on integrated network management, 2009. IM ’09. June 2009, pp 25–32

    Google Scholar 

  19. Jones LW, Carpenter TL (2002) Towards decentralized network management and reliability. In: Proceedings of the 2002 international conference on security and management

    Google Scholar 

  20. Du TC, Li EY, Chang A-P (2003) Mobile agents in distributed network management. Commun ACM 46:127–132. Available http://doi.acm.org/10.1145/792704.792710

  21. Goldszmidt G, Yemini Y (1998) Delegated agents for network management. IEEE Commun Mag 36(3):66–70

    Google Scholar 

  22. The pomdp page. Available http://www.pomdp.org/

  23. Russel SJ, Norvig P (2010) Uncertain knowledge and reasoning. In: Artificial intelligence: a modern approach. Prentice Hall, New Jersey, pp 480–684

    Google Scholar 

  24. Kaelbling LP, Littman ML, Cassandra AR (1998) Planning and acting in partially observable stochastic domains. Artif Intell 101:99–134

    Google Scholar 

  25. Littman ML (1994) Memoryless policies: theoretical limitations and practical results. The MIT Press, Cambridge, pp 238–245

    Google Scholar 

  26. He Q-M (2010) Construction of continuous time markovian arrival processes. J Syst Sci Syst Eng 19:351–366. http://dx.doi.org/10.1007/s11518-010-5139-5. doi:10.1007/s11518-010-5139-5

  27. Fischer W, Meier-Hellstern K (1993) The markov-modulated poisson process (mmpp) cookbook. Perform Eval 18(2):149–171. Available http://www.sciencedirect.com/science/article/pii/016653169390035S

  28. Cordeiro JD, Kharoufeh JP (2011) Batch markovian arrival processes (bmap). Wiley Encyclopedia of Operations Research and Management Science

    Google Scholar 

  29. Klemm A, Lindemann C, Lohmann M (2003) Modeling ip traffic using the batch markovian arrival process. Perform Eval 54(2):149–173. Modelling techniques and tools for computer performance evaluation. Available http://www.sciencedirect.com/science/article/pii/S0166531603000671

  30. He Q-M, Neuts MF (1998) Markov chains with marked transitions. Stoch Process Appl 74(1):37–52. Available http://www.sciencedirect.com/science/article/pii/S0304414997001099

  31. Moon T (1996) The expectation-maximization algorithm. Sig Process Mag IEEE 13(6):47–60

    Google Scholar 

  32. Dellaert F (2002) The expectation maximization algorithm. Available http://hdl.handle.net/1853/3281

  33. Borman S (2004) The expectation maximization algorithm: a short tutorial. Unpublished paper available at http://www.seanborman.com/publications. Technical report

  34. Huhns M, Singh M (1997) Ontologies for agents. IEEE Internet Comput 1(6):81–83

    Google Scholar 

  35. Nejdl W, Olmedilla D, Winslett M, Zhang C (2005) Ontology-based policy specification and management. In: Gomez-Perez A, Euzenat J (eds) The semantic web: research and applications, ser LNCS, vol. 3532. Springer, New York, pp 133–144. Available http://dx.doi.org/10.1007/11431053_20. doi:10.1007/11431053_20

  36. Church KW, Gale WA (1995) Poisson mixtures. Nat Lang Eng 1:163–190

    Google Scholar 

  37. Jacob B, Lanyon-Hogg R, Nadgir DK, Yassin AF (2004) A practical guide to the ibm autonomic computing toolkit. IBM, International Technical Support Organization, Durham

    Google Scholar 

  38. Cassandra T (2003–2013) Pomdps: who needs them? Available http://www.pomdp.org/pomdp/talks/who-needs-pomdps/index.shtml

  39. Hey JD, Lotito G, Maffioletti A (2010) The descriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity. J Risk Uncertain 41(2):81–111

    Article  MATH  Google Scholar 

  40. Liang S, Bracha G (1998) Dynamic class loading in the java virtual machine. In: ACM SIGPLAN Notices, vol 33, no 10. ACM, pp 36–44

    Google Scholar 

  41. Yildiz M, Toker AC, Sivrikaya F, Camtepe SA, Albayrak S (2012) User facilitated congestion and attack mitigation. In: Mobile networks and management. Springer, Berlin, pp 358–371

    Google Scholar 

  42. Yildiz M, Toker AC, Sivrikaya F, Albayrak S (2012) User centric wireless testbed. In: Testbeds and research infrastructure. Development of networks and communities. Springer, Berlin, pp 75–87

    Google Scholar 

  43. Pc engines home page. Available http://www.pcengines.ch/

  44. Voyage linux home page. Available http://linux.voyage.hk/

  45. Iperf. Available http://iperf.sourceforge.net/

  46. Botta A, Dainotti A, Pescapé A (2012) A tool for the generation of realistic network workload for emerging networking scenarios. Comput Netw 56:3531–3547

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. DAI-Labor/Technische Universität Berlin, Berlin, Germany

    Mürsel Yildiz & Manzoor Ahmed Khan

Authors
  1. Mürsel Yildiz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manzoor Ahmed Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mürsel Yildiz .

Editor information

Editors and Affiliations

  1. Dipartimento di Scienze di Base e Fondamenti, University of Urbino, Urbino, Italy

    Alessandro Aldini

  2. Dipartimento di Scienze di Base e Fondamenti, University of Urbino, Urbino, Italy

    Alessandro Bogliolo

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Yildiz, M., Khan, M.A. (2014). Autonomous Resource Allocation and Strategy Optimization in Wireless Networks. In: Aldini, A., Bogliolo, A. (eds) User-Centric Networking. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-05218-2_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05218-2_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05217-5

  • Online ISBN: 978-3-319-05218-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation