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An Analysis of Genetic Algorithm Based Anycast Routing in Delay and Disruption Tolerant Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7677))

Abstract

Populations in developing countries, especially in regions that lack telecommunications infrastructure, usually do not have access to the information technology. Instead, Delay-/Disruption-Tolerant Networks (DTNs) have the capacity to interconnect areas that are underserved by traditional networks. Anycast routing can be used for many applications in DTNs, and it is useful when nodes wish to send messages to at least one, and preferably only one, of the members in a destination group. In this paper, aiming an efficient routing, it is analyzed a Genetic Algorithm (GA) based anycast routing algorithm. Simulation experiments show that the proposed algorithm can produce good results in typical scenarios including delays and disconnections in message delivery.

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References

  1. Khabbaz, M.J., Assi, C.M., Fawaz, W.F.: Disruption-Tolerant Networking: A Comprehensive Survey on Recent Developments and Persisting Challenges. IEEE Communications Surveys & Tutorials 14, 607–640 (2012)

    Article  Google Scholar 

  2. Zhang, Z.: Routing in intermittently connected mobile ad hoc networks and delay tolerant networks: overview and challenges. Communications Surveys & Tutorials 8, 24–37 (2006)

    Article  Google Scholar 

  3. Gong, Y., et al.: Anycast routing in delay tolerant networks. In: Global Telecommunications Conference (GLOBECOM), pp. 1–5 (2006)

    Google Scholar 

  4. Jain, S., Fall, D., Patra, R.: Routing in a delay tolerant network. In: Special Interest Group on Data Communications – SIGCOMM, pp. 145–158 (2004)

    Google Scholar 

  5. Yussof, S.: Performance analysis of genetic algorithm (GA)-based multi-constrained path routing algorithm. International Journal of the Physical Sciences 33, 7524–7539 (2011)

    Google Scholar 

  6. Da Silva, E.R., Guardieiro, P.R.: Anycast routing in delay tolerant networks using genetic algorithms for route decision. In: 11th International Conference on Computer and Information Technology, pp. 65–71 (2008)

    Google Scholar 

  7. Da Silva, E.R., Guardieiro, P.R.: An efficient genetic algorithm for anycast routing in delay/disruption tolerant networks. IEEE Communications Letters 14, 315–317 (2010)

    Article  Google Scholar 

  8. Goldberg, D.E.: Genetic algorithms in search, optimization and machine learning. Addison-Wesley, Massachusets (1989)

    MATH  Google Scholar 

  9. Randaccio, L.S., Atzori, L.: Group multicast routing problem: a genetic algorithms based approach. Computer Networks 51, 3989–4004 (2007)

    Article  MATH  Google Scholar 

  10. Lo, C.C., Chang, W.H.: A multiobjective hybrid genetic algorithm for the capacitated multipoint network design problem. IEEE Trans. on System, Man, and Cybernetics. 30, 461–470 (2000)

    Article  Google Scholar 

  11. Ferreira, A.: Building a reference combinatorial model for MANETs. IEEE Network 18, 24–29 (2004)

    Article  Google Scholar 

  12. Waxman, B.M.: Routing of multipoint connection. IEEE Journal on Selected Areas in Communications 6, 1617–1622 (1988)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Silva, É.R., Guardieiro, P.R. (2012). An Analysis of Genetic Algorithm Based Anycast Routing in Delay and Disruption Tolerant Networks. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-35380-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35379-6

  • Online ISBN: 978-3-642-35380-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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