Introduction to NetLogo

  • Federico Albiero
  • Frank H. P. Fitzek
  • Marcos D. Katz

NetLogo is a multi-agent modeling environment originally conceived by the complex systems community for simulating natural and social phenomena. Despite its simplicity, NetLogo is a powerful tool in many fields of research. It is especially well suited for modeling large collections of independent agents developing over time, thus being a promising solution for simulating and analyzing distributed systems such as modern wireless networks. In this chapter we illustrate the feasibility of this approach, by providing a detailed tutorial about the application of NetLogo to wireless communications.

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References

  1. 1.
    IEEE Std 802. 11a. Wireless LAN Medium Access Control (MAC) and the Phys-ical Layer (PHY) specifications -High-speed Physical Layer in the 5 GHz Band., 1999.Google Scholar
  2. 2.
    IEEE Std 802. 11g 2003. Amendment to IEEE Std 802. 11, 1999 Edn. (Reaff 2003) as amended by IEEE Stds 802. 11a-1999, 802. 11b-1999, 802. 11b-1999/Cor 1-2001, and 802. 11d-2001., 2003.Google Scholar
  3. 3.
    L. DaSilva A. MacKenzie. Game Theory for Wireless Engineers. ISBN 1-59829-016-9. Morgan & Claypool, 2006.Google Scholar
  4. 4.
    Federico Albiero. Power Savings in Cooperative Networks. A Game-theoretic Approach. Master’s thesis, Universita’ agli Studi di Padova (Italy) and Aalborg University (AAU -Denmark), 2006.Google Scholar
  5. 5.
    Various Authors. NetLogo User Manual. Center for Connected Learning and Computer-Based Modeling. Northwestern University of Evanston, IL, Septem-ber 2006. Available at http://ccl.northwestern.edu/netlogo/docs/.
  6. 6.
    R. Axelrod. The Evolution of Cooperation. Basic Books, 1984.Google Scholar
  7. 7.
    F. H. P. Fitzek and M. Katz. Cooperation in Wireless Networks: Principles and Applications -Real Egoistic Behavior is to Cooperate! ISBN 1-4020-4710-X. Springer, April 2006.CrossRefGoogle Scholar
  8. 8.
    W. Pundstone. Prisoner’s Dilemma. Doubleday, 1992.Google Scholar
  9. 9.
    J. M. Smith. Evolution of the Theory of Games. Cambridge University Press, 1982.MATHGoogle Scholar
  10. 10.
    Frank H. P. Fitzek Tatiana K. Madsen and Ramjee Prasad. Simulating Mobile Ad Hoc Networks: Estimation of Connectivity Probability. Dept. of Communi-cation Technology, Aalborg University, 2004. Available at http://kom. aau. dk/ ∼ff/documents/wpmc2004tatiana. pdf.
  11. 11.
    U. Wilenski. NetLogo. Center for Connected Learning and Computer-Based Modeling. Northwestern University of Evanston, IL, 1999. Available at http://ccl. northwestern. edu/netlogo.
  12. 12.
    U. Wilenski. Modeling Nature’s Emergent Patterns with Multi-agent Languages. Center for Connected Learning and Computer-Based Modeling, Northwestern University of Evanston (IL), 2001. Available at http://ccl.northwestern.edu/papers/MEE/.

Copyright information

© Springer 2007

Authors and Affiliations

  • Federico Albiero
    • 1
  • Frank H. P. Fitzek
    • 2
  • Marcos D. Katz
    • 1
  1. 1.VTT Technical Research Centre of FinlandFinland
  2. 2.Department of Electronic SystemsAalborg UniversityDenmark

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