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Non-dominated Sorting and a Novel Formulation in the Reporting Cells Planning

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Hybrid Artificial Intelligence Systems (HAIS 2014)

Abstract

In this paper, we study the Reporting Cells scheme, a popular strategy used to control the movement of mobile terminals in the Public Land Mobile Networks. In contrast to previously published works, we propose a multiobjective approach that allows us to avoid the drawbacks of the linear aggregation of the objective functions. Furthermore, we provide a novel formulation to take into account aspects of the Reporting Cells that have not been considered in previous works. Experimental results show that our proposal outperforms other optimization techniques published in the literature.

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References

  1. Nowoswiat, D., Milliken, G.: Managing LTE core network signaling traffic. Alcatel-Lucent, Techzine (2013)

    Google Scholar 

  2. Kyamakya, K., Jobmann, K.: Location management in cellular networks: classification of the most important paradigms, realistic simulation framework, and relative performance analysis. IEEE Transactions on Vehicular Technology 54(2), 687–708 (2005)

    Article  Google Scholar 

  3. Bar-Noy, A., Kessler, I.: Tracking mobile users in wireless communications networks. IEEE Transactions on Information Theory 39(6), 1877–1886 (1993)

    Article  MATH  Google Scholar 

  4. Hac, A., Zhou, X.: Locating strategies for Personal Communication Networks: A novel tracking strategy. IEEE Journal on Selected Areas in Communications 15(8), 1425–1436 (1997)

    Article  Google Scholar 

  5. Subrata, R., Zomaya, A.Y.: A comparison of three artificial life techniques for Reporting Cell planning in mobile computing. IEEE Trans. Parallel Distrib. Syst. 14(2), 142–153 (2003)

    Article  Google Scholar 

  6. Alba, E., García-Nieto, J., Taheri, J., Zomaya, A.Y.: New research in nature inspired algorithms for mobility management in GSM networks. In: Giacobini, M., Brabazon, A., Cagnoni, S., Di Caro, G.A., Drechsler, R., Ekárt, A., Esparcia-Alcázar, A.I., Farooq, M., Fink, A., McCormack, J., O’Neill, M., Romero, J., Rothlauf, F., Squillero, G., Uyar, A.Ş., Yang, S. (eds.) EvoWorkshops 2008. LNCS, vol. 4974, pp. 1–10. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Almeida-Luz, S.M., Vega-Rodríguez, M.A., Gómez-Pulido, J.A., Sánchez-Pérez, J.M.: Applying differential evolution to the Reporting Cells problem. In: International Multiconference on Computer Science and Information Technology, pp. 65–71 (2008)

    Google Scholar 

  8. Almeida-Luz, S.M., Vega-Rodríguez, M.A., Gómez-Pulido, J.A., Sánchez-Pérez, J.M.: Solving the reporting cells problem using a scatter search based algorithm. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds.) RSCTC 2010. LNCS, vol. 6086, pp. 534–543. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  9. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)

    Article  Google Scholar 

  10. Coello, C.A.C., Lamont, G.B., Veldhuizen, D.A.V.: Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation). Springer-Verlag New York, Inc., Secaucus (2006)

    Google Scholar 

  11. Taheri, J., Zomaya, A.Y.: A simulation tool for mobility management experiments. Int. J. Pervasive Computing and Communications 5(3), 360–379 (2009)

    Article  Google Scholar 

  12. Corchado, E., Wozniak, M., Abraham, A., de Carvalho, A.C.P.L.F., Snásel, V.: Recent trends in intelligent data analysis. Neurocomputing 126, 1–2 (2014)

    Article  Google Scholar 

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Berrocal-Plaza, V., Vega-Rodríguez, M.A., Sánchez-Pérez, J.M. (2014). Non-dominated Sorting and a Novel Formulation in the Reporting Cells Planning. In: Polycarpou, M., de Carvalho, A.C.P.L.F., Pan, JS., Woźniak, M., Quintian, H., Corchado, E. (eds) Hybrid Artificial Intelligence Systems. HAIS 2014. Lecture Notes in Computer Science(), vol 8480. Springer, Cham. https://doi.org/10.1007/978-3-319-07617-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-07617-1_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07616-4

  • Online ISBN: 978-3-319-07617-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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