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A Strength Pareto Approach and a Novel Formulation in the Reporting Cells Planning

  • Conference paper
International Joint Conference SOCO’14-CISIS’14-ICEUTE’14

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 299))

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Abstract

This paper addresses the Reporting Cells scheme, a popular strategy to track the subscribers’ movement in mobile networks. As opposed to other authors, we propose a multiobjective approach to avoid the drawbacks associated with the linear aggregation of the objective functions. The optimization technique presented in this manuscript is our version of the Strength Pareto Evolutionary Algorithm 2. On the other hand, we provide a novel formulation to take into account aspects of the Reporting Cells scheme that were not contemplated in previously published works. By means of an experimental study, we demonstrate the goodness of our proposal.

This work was partially funded by the Spanish Ministry of Economy and Competitiveness and the ERDF (European Regional Development Fund), under the contract TIN2012-30685 (BIO project). The work of Víctor Berrocal-Plaza has been developed under the Grant FPU-AP2010-5841 from the Spanish Government.

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References

  1. 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 

  2. Mukherjee, A., Bandyopadhyay, S., Saha, D.: Location Management and Routing in Mobile Wireless Networks. Artech House mobile communications series. Artech House (2003)

    Google Scholar 

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

    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., et al. (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. Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization. In: Giannakoglou, K.C., Tsahalis, D.T., Périaux, J., Papailiou, K.D., Fogarty, T. (eds.) Evolutionary Methods for Design Optimization and Control with Applications to Industrial Problems, Athens, Greece, pp. 95–100. International Center for Numerical Methods in Engineering (2001)

    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 

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Author information

Authors and Affiliations

  1. Dept. of Computers & Communications Technologies, University of Extremadura, Escuela Politécnica, Campus Universitario S/N, 10003, Cáceres, Spain

    Víctor Berrocal-Plaza, Miguel Ángel Vega-Rodríguez & Juan Manuel Sánchez-Pérez

Authors
  1. Víctor Berrocal-Plaza
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  2. Miguel Ángel Vega-Rodríguez
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  3. Juan Manuel Sánchez-Pérez
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Corresponding author

Correspondence to Víctor Berrocal-Plaza .

Editor information

Editors and Affiliations

  1. DeustoTech Computing, University of Deusto, Bilbao, Spain

    José Gaviria de la Puerta

  2. DeustoTech Computing, University of Deusto, Bilbao, Spain

    Iván García Ferreira

  3. DeustoTech Computing, University of Deusto, Bilbao, Spain

    Pablo Garcia Bringas

  4. German Workforce ADL Partnership Laboratory, Waltershausen, Germany

    Fanny Klett

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Washington, USA

    Ajith Abraham

  6. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, Brazil

    André C.P.L.F. de Carvalho

  7. Department of Civil Engineering Escuela Politénica Superior, University of Burgos, Burgos, Spain

    Álvaro Herrero

  8. Department of Civil Engineering Escuela Politénica Superior, University of Burgos, Burgos, Spain

    Bruno Baruque

  9. Departamento de Enxeñeria Industrial, Escuela Universitaria Politécnica, University of Salamanca, Salamanca, Spain and University of Coruña, La Coruña, Spain

    Héctor Quintián

  10. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Berrocal-Plaza, V., Vega-Rodríguez, M.Á., Sánchez-Pérez, J.M. (2014). A Strength Pareto Approach and a Novel Formulation in the Reporting Cells Planning. In: de la Puerta, J., et al. International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Advances in Intelligent Systems and Computing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-07995-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-07995-0_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07994-3

  • Online ISBN: 978-3-319-07995-0

  • eBook Packages: EngineeringEngineering (R0)

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