Skip to main content

Bio-Inspired Approaches for Autonomic Pervasive Computing Systems

  • Conference paper
Bio-Inspired Computing and Communication (BIOWIRE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5151))

Included in the following conference series:

Abstract

In this chapter, we present some of the biologically-inspired approaches, developed within the context of the European project BIONETS for enabling autonomic pervasive computing environments. The set of problems addressed include networking as well as service management issues. The approach pursued is based on the use of evolutionary techniques — properly embedded in the system components — as a means to achieve fully autonomic behaviour.

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 39.99
Price excludes VAT (USA)
  • Available as 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

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. Weiser, M.: The computer for the 21st century. SIGMOBILE Mob. Comput. Commun. Rev. 3(3), 3–11 (1999)

    Article  Google Scholar 

  2. Carreras, I., Chlamtac, I., Pellegrini, F.D., Miorandi, D.: BIONETS: Bio-inspired networking for pervasive communication environments. IEEE Trans. Veh. Tech. 56, 218–229 (2007)

    Article  Google Scholar 

  3. Crowcroft, J., Hand, S., Mortier, R., Roscoe, T., Warfield, A.: Plutarch: an argument for network pluralism. In: Proc. of ACM SIGCOMM, Karlsruhe, DE (2003)

    Google Scholar 

  4. Dobson, S., Denazis, S., Fernandez, A., Gaiti, D., Gelenbe, E., Massacci, F., Nixon, P., Saffre, F., Schmidt, N., Zambonelli, F.: A survey of autonomic communications. ACM Trans. Aut. Adapt. Syst. 1, 223–259 (2006)

    Article  Google Scholar 

  5. Kephart, J.O., Chess, D.M.: The vision of autonomic computing. IEEE Comp. Mag. 36(1), 41–50 (2003)

    Article  Google Scholar 

  6. Altman, E., Dini, P., Miorandi, D., Schreckling, D.: Paradigms and foundations of BIONETS research, http://www.bionets.eu/docs/BIONETS_D2_1_1.pdf

  7. Dittrich, P.: Chemical Computing. In: Banâtre, J.-P., Fradet, P., Giavitto, J.-L., Michel, O. (eds.) UPP 2004. LNCS, vol. 3566, pp. 19–32. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Dittrich, P., Ziegler, J., Banzhaf, W.: Artificial Chemistries – A Review. Artificial Life 7(3), 225–275 (2001)

    Article  Google Scholar 

  9. Fontana, W., Buss, L.W.: The Arrival of the Fittest: Toward a Theory of Biological Organization. Bulletin of Mathematical Biology 56, 1–64 (1994)

    MATH  Google Scholar 

  10. Dittrich, P., di Fenizio, P.S.: Chemical organization theory: towards a theory of constructive dynamical systems. Bulletin of Mathematical Biology 69(4), 1199–1231 (2005)

    Article  MATH  Google Scholar 

  11. Banzhaf, W., Lasarczyk, C.: Genetic Programming of an Algorithmic Chemistry. In: O’Reilly, et al. (eds.) Genetic Programming Theory and Practice II, vol. 8, pp. 175–190. Kluwer/Springer (2004)

    Google Scholar 

  12. Prodan, L., Tempesti, G., Mange, D., Stauffer, A.: Embryonics: artificial stem cells. In: Proc. of ALife VIII, pp. 101–105 (2002)

    Google Scholar 

  13. Stanley, K.O., Miikkulainen, R.: A taxonomy for artificial embryogeny. Artif. Life 9, 93–130 (2003)

    Article  Google Scholar 

  14. Fudenberg, D., Tirole, J.: Game Theory. MIT Press, Cambridge (1991)

    MATH  Google Scholar 

  15. Maynard Smith, J.: Game theory and the evolution of fighting. In: Maynard Smith, J. (ed.) On Evolution, pp. 8–28. Edinburgh University Press (1972)

    Google Scholar 

  16. Maynard Smith, J.: Evolution and the Theory of Games. Cambridge University Press, Cambridge (1982)

    Book  MATH  Google Scholar 

  17. Hofbauer, J., Sigmund, K.: Evolutionary Games andvPopulation Dynamics. Cambridge University Press, Cambridge (1998)

    Book  MATH  Google Scholar 

  18. Tembine, H., Altman, E., El-Azouzi, R., Hayel, Y.: Evolutionary games for predicting the evolution and adaptation of wireless protocols submitted

    Google Scholar 

  19. Tembine, H., Altman, E., El-Azouzi, R.: Delayed evolutionary game dynamics applied to the medium access control. In: Proc. of IEEE BioNetworks, Pisa, IT (2007)

    Google Scholar 

  20. Tembine, H., Altman, E., El-Azouzi, R.: Asymmetric delay in evolutionary games. In: Proc. of ValueTools, Nantes, FR (October 2007)

    Google Scholar 

  21. Foster, J.A.: Evolutionary computation. Nature 2, 428–436 (2001)

    Google Scholar 

  22. Tschudin, C.: Fraglets - a metabolistic execution model for communication protocols. In: Proc. of AINS, Menlo Park, USA (July 2003)

    Google Scholar 

  23. Yamamoto, L., Tschudin, C.: Experiments on the Automatic Evolution of Protocols using Genetic Programming. In: Stavrakakis, I., Smirnov, M. (eds.) WAC 2005. LNCS, vol. 3854, pp. 13–28. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  24. Yamamoto, L.: Code Regulation in Open Ended Evolution. In: Ebner, M., O’Neill, M., Ekárt, A., Vanneschi, L., Esparcia-Alcázar, A.I. (eds.) EuroGP 2007. LNCS, vol. 4445, pp. 271–280. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  25. Yamamoto, L.: PlasmidPL: A plasmid-inspired language for genetic programming. In: Proc. of EuroGP, Napoli, IT (2008)

    Google Scholar 

  26. Vahdat, A., Becker, D.: Epidemic routing for partially connected ad hoc networks. Technical Report CS-200006, Duke University (April 2000)

    Google Scholar 

  27. Fall, K.: A delay-tolerant network architecture for challenged Internets. In: Proc. of ACM SIGCOMM, Karlsruhe, Germany, pp. 27–34 (2003)

    Google Scholar 

  28. Alouf, S., Carreras, I., Miorandi, D., Neglia, G.: Embedding evolution in epidemic-style forwarding. In: Proc. of IEEE BioNetworks, Pisa, IT (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Miorandi, D., Carreras, I., Altman, E., Yamamoto, L., Chlamtac, I. (2008). Bio-Inspired Approaches for Autonomic Pervasive Computing Systems. In: Liò, P., Yoneki, E., Crowcroft, J., Verma, D.C. (eds) Bio-Inspired Computing and Communication. BIOWIRE 2007. Lecture Notes in Computer Science, vol 5151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92191-2_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-92191-2_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92190-5

  • Online ISBN: 978-3-540-92191-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics