A Fuzzy-AHP Based Approach for Enhancing Network Selection in Heterogeneous Networks Using Battery Energy Criterion

  • Authors

    • Imane Chattate
    • Mohamed El Khaili
    • Jamila Bakkoury
    2018-12-06
    https://doi.org/10.14419/ijet.v7i4.32.25359
  • Vertical Handover, Network selection, Fuzzy Analytic Hierarchy Process, Multi-Attribute Decision Making, TOPSIS.

  • Abstract

    Today, the rapid evolution of communication technologies requires a certain improvement of the quality of service (QoS) in order to meet the needs of the user. Vertical handover enables a mobile terminal to move from one network to another without loss of connection. Vertical handover management is one of major challenges to ensure seamless mobility in order to achieve efficient resource utilization while maintaining the quality of service (Qos). In this paper, we propose an approach for network selection based on the combination of AHP method with fuzzy logic including a new criterion which is the battery energy in order to reduce the number of executed handoffs, while extending the Mobile battery life. Performance results of the proposed system are also compared with those of the classical method, it is found that our proposed method outperforms the classical method with the highest relative standard deviation. Subsequently TOPSIS method is applied to rank the available networks.

     

     

     

  • References

    1. [1] Chattate I., El khaili M., Bakkoury J. Overview on technology of vertical handover and MIH architecture. Int. Colloquium on Information Science and Technology (CiSt) 4th IEEE, Tanger, 2016.

      [2] Obayiuwana E., and al. Network selection in heterogeneous wireless networks using multi-criteria decision-making algorithms: a review. In Wireless Networks, 2016, pp. 1-33.

      [3] Xia L., Ling-ge J., , Chen H., Hong-wei L. An intelligent vertical handoff algorithm in heterogeneous wireless networks. Int. Con. on Neural Networks and Signal Processing, 2008, pp.550-555.

      [4] Lahby M., Baghla S., Sekkaki A. Survey and comparison of MADM methods for network selection access in heterogeneous networks. 7th Int. Con. on New Technologies, Mobility and Security (NTMS). IEEE, july 2015, pp. 1-6.

      [5] Bikmukhamedov R., Yeryomin Y., Seitz J. Evaluation of MCDA-based Handover Algorithms for Mobile Networks. Ubiquitous and Future Networks (ICUFN), July 2016.

      [6] Xu Z. Uncertain Multi-Attribute Decision-Making: Methods and Applications. Springer, New York, 2015.

      [7] Narayanan V.A., Rajeswari A. Sureshkumar V. An intelligent vertical handover decision algorithm for wireless heterogeneous networks. Am. J. Appl. 732, 2014, Sci. 11(5).

      [8] Stevens-Navarro E., Wong V.W. Comparison between Vertical Handoff Decision Algorithms for Heterogeneous Wireless Networks. In Proceedings of the VTC 2006-Spring 63rd Vehicular Technology Conference, Melbourne, Australia, 7–10 May 2006, Volume 2, pp. 947–951.

      [9] Lahby M., A. Attioui, A. Sekkaki, An Optimized Vertical Handover Approach Based on M-ANP and TOPSIS in Heterogeneous Wireless Networks. Advances in Ubiquitous Networking 2, Springer Singapore, 2017, 15–29.

      [10] Savitha K., Chandrasekar C. Trusted network selection using SAW and TOPSIS algorithms for heterogeneous wireless networks. Int. J. of Computer Applications, 2011, 26(8): 22-29.

      [11] Kunarak S., Sulessathira R. Vertical handover decision management on the basis of several criteria for LVQNN with ubiquitous wireless networks. Int. J. of GEOMATE, June 2017, Vol.12 Issue 34, pp. 123.

      [12] Giupponi L., Augusti R., Pérez-Romero J., Sallent O. A novel Joint RadioResource Management Approach with Reinforcement Learning Mechanisms. 24th IEEE Int. Performance Computing, 2005.

      [13] Khan M., Ahmad A., Khalid S. and al. Fuzzy based multi criteria vertical handover decision modeling in heterogeneous wireless networks. Multimedia Tools and Applications, 2017.

      [14] Torfi F., Farahani R.Z., Rezapour S. Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives. Applied Soft Computing, 2010, 10,520–528.

      [15] Kaleemy F., and al. A fahp weighting scheme for system attributes in heterogeneous wireless networks. In the 9th IEEE Vehicular Technology Society Asia Pacific Wireless Communications Symposium (APWCS12), Japan, Aug 2012, pp.1-6.

      [16] Sasirekha V., Ilanzkumaran M. Heterogeneous wireless network selection using FAHP integrated with topsis and vikor. In Int. con. on pattern recognition, informatics and mobile engineering, 2013, pp. 399–407.

      [17] Zadeh L.A. Fuzzy Sets Information and Control. 1965, 8(3), pp. 338-353.

      [18] Buckley J.J. Fuzzy hierarchical analysis, Fuzzy Sets and Systems.1985, Vol.17. pp.233-247.

      [19] Yang Ch.Ch., Chen B.Sh. Key quality performance evaluation using Fuzzy AHP. Journal of the Chinese Institute of Industrial Engineers, 2004, vol. 21(6), pp. 543-550.

      [20] Chang D.Y. Applications of the extent analysis method on fuzzy-AHP. Eur. J. Oper, 1996, Res. 95 ,649–655.

      [21] Wichapa N., Khokhajaikiat P. Solving multi-objective facility location problem using the fuzzy analytical hierarchy process and goal programming: a case study on infectious waste disposal centers. Operations Research Perspectives 4, 2017, pp. 39–48.

      [22] Hwang C.L., Yoon K.P. Multiple attribute decision making: Methods and applications. Springer-Verlag 1981.

      [23] Vega A., Aguarón J., García-Alcaraz J., Moreno-Jiménez J.M. Notes on Dependent Attributes in TOPSIS. Proc. Comput. Sci. 31, 2014, 308–317.

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  • How to Cite

    Chattate, I., El Khaili, M., & Bakkoury, J. (2018). A Fuzzy-AHP Based Approach for Enhancing Network Selection in Heterogeneous Networks Using Battery Energy Criterion. International Journal of Engineering & Technology, 7(4.32), 118-123. https://doi.org/10.14419/ijet.v7i4.32.25359

    Received date: 2019-01-04

    Accepted date: 2019-01-04

    Published date: 2018-12-06