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Solving the reporting cells problem using a scatter search based algorithm

Published: 28 June 2010 Publication History

Abstract

The Location Management problem is an important issue of mobility management, which is responsible for determining the network configuration, with the major goal of minimizing the involved costs. One of the most common strategies of location management is the Reporting Cells (RC) scheme, which mainly considers the location update and the paging costs. In this paper we propose a Scatter Search (SS) based approach applied to the Reporting Cells as a cost optimizing solution, with the objective of achieving the best network configuration defining a subset of cells as reporting cells and the others as nonreporting cells. With this work we want to define the most adequate values of the SS parameters, when applied to the RC problem, using twelve test networks that represent 4 distinct groups divided by size. We also want to compare the performance of this SS based approach with a previous study based on Differential Evolution and also with other approaches presented in the literature. The results obtained are very interesting because they outperform those obtained with other approaches exposed in the literature.

References

[1]
Pahlavan, K., Levesque, A.H.: Wireless Information Networks. John Wiley & Sons, Chichester (1995).
[2]
Tabbane, S.: Location Management Methods for Third Generation Mobile Systems. IEEE Communications Magazine 35, 72-84 (1997).
[3]
Wong, V.W.S., Leung, V.C.M.: Location Management for Next-Generation Personal Communications Networks. IEEE Network 14(5), 18-24 (2000).
[4]
Almeida-Luz, S.M., Vega-Rodríguez, M.A., Gómez-Púlido, J.A., Sánchez-Pérez, J.M.: Differential evolution for solving the mobile location management. Applied Soft Computing (2009) (in Press).
[5]
Taheri, J., Zomaya, A.Y.: A Modified Hopfield Network for Mobility Management. Wireless Communications and Mobile Computing 8, 355-367 (2008).
[6]
Gondim, P.R.L.: Genetic Algorithms and the Location Area Partitioning Problem in Cellular Networks. In: 46th IEEE Vehicular Technology Conf. Mobile Technology for the Human Race, vol. 3, pp. 1835-1838 (1996).
[7]
Bar-Noy, A., Kessler, I.: Tracking Mobile Users in Wireless Communications Networks. IEEE Transactions on Information Theory 39, 1877-1886 (1993).
[8]
Alba, E., García-Nieto, J., Taheri, J., Zomaya, A.Y.: New Research in Nature Inspired Algorithms for Mobility Management. 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.S., Yang, S. (eds.) Evo Workshops 2008. LNCS, vol. 4974, pp. 1-10. Springer, Heidelberg (2008).
[9]
Glover, F.: Heuristics for Integer Programming Using Surrogate Constraints. Decision Sciences 8, 156-166 (1977).
[10]
Martí, R., Laguna, M., Glover, F.: Principles of Scatter Search. European Journal of Operational Research 169, 359-372 (2006).
[11]
Laguna, M., Hossell, K.P., Martí, R.: Scatter Search: Methodology and Implementation in C. Kluwer Academic Publishers, Norwell (2002).
[12]
Test Networks Benchmark, http://oplink.lcc.uma.es/problems/mmp.html (accessed on February 2010).
[13]
Subrata, R., Zomaya, A.Y.: A Comparison of Three Artificial Life Techniques for Reporting Cell Planning in Mobile Computing. IEEE Transactions on Parallel and Distributed Systems 14(2), 142-153 (2003).
[14]
Taheri, J., Zomaya, A.: Bio-inspired Algorithms for Mobility Management. In: Proceedings of ISPAN 2008 - The International Symposium on Parallel Architectures, Algorithms, and Networks, pp. 216-223. IEEE Computer Society, Los Alamitos (2008).

Cited By

View all
  • (2017)Cost Reduction in Location Management Using Reporting Cell Planning and Particle Swarm OptimizationWireless Personal Communications: An International Journal10.1007/s11277-017-4259-396:1(1613-1633)Online publication date: 1-Sep-2017
  • (2014)A Strength Pareto Approach to Solve the Reporting Cells Planning ProblemProceedings of the 14th International Conference on Computational Science and Its Applications — ICCSA 2014 - Volume 858410.1007/978-3-319-09153-2_16(212-223)Online publication date: 30-Jun-2014
  • (2014)Non-dominated Sorting and a Novel Formulation in the Reporting Cells PlanningProceedings of the 9th International Conference on Hybrid Artificial Intelligence Systems - Volume 848010.1007/978-3-319-07617-1_26(285-295)Online publication date: 11-Jun-2014

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Published In

cover image Guide Proceedings
RSCTC'10: Proceedings of the 7th international conference on Rough sets and current trends in computing
June 2010
752 pages
ISBN:3642135285

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 28 June 2010

Author Tags

  1. cost optimization
  2. location management
  3. mobile networks
  4. reporting cells problem
  5. scatter search

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Cited By

View all
  • (2017)Cost Reduction in Location Management Using Reporting Cell Planning and Particle Swarm OptimizationWireless Personal Communications: An International Journal10.1007/s11277-017-4259-396:1(1613-1633)Online publication date: 1-Sep-2017
  • (2014)A Strength Pareto Approach to Solve the Reporting Cells Planning ProblemProceedings of the 14th International Conference on Computational Science and Its Applications — ICCSA 2014 - Volume 858410.1007/978-3-319-09153-2_16(212-223)Online publication date: 30-Jun-2014
  • (2014)Non-dominated Sorting and a Novel Formulation in the Reporting Cells PlanningProceedings of the 9th International Conference on Hybrid Artificial Intelligence Systems - Volume 848010.1007/978-3-319-07617-1_26(285-295)Online publication date: 11-Jun-2014

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