Wireless Personal Communications

, Volume 64, Issue 4, pp 647–664

An Optimum Vertical Handoff Decision Algorithm Based on Adaptive Fuzzy Logic and Genetic Algorithm



Handoff decision making is one of the most important topics in wireless heterogeneous networks architecture as there are many parameters which have to be considered when triggering handoff and selecting suitable access point. More intelligent approaches which reckon user profiles, application requirements, and network conditions must be improved so that desired performance results for both user and network could be provided. In this paper we introduce a new adaptive vertical handoff decision making algorithm in which fuzzy membership functions are optimized by means of genetic algorithm. Genetic algorithm is an adaptive search technique based on natural selection and genetic rules. In addition to that, it takes places in various scientific applications and can be used to adjust the membership functions in fuzzy systems. The purpose of the study is to adjust the shape of fuzzy membership functions, properly, using genetic algorithm in order to achieve optimum handoff performance. The results show that, compared to the several different algorithms performance of the proposed approach with genetic algorithm is significantly improved for both user and network in terms of number of handoff while the other requirements are still satisfied.


Vertical Handoff Cognitive radio Heterogeneous networks Genetic algorithms Fuzzy logic 


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  1. 1.
    Nasser, N., Guizani, S., & Al-Masri, E. (2007). Middleware vertical Handoff manager: A neural network-based solution. In IEEE international conference on communications (ICC) (pp. 5671–5676). Glasgow, Scotland, UK.Google Scholar
  2. 2.
    Ohta, K., Yoshikawa, T., Nakagawa, T., Isoda, Y., Kurakake, S., & Sugimura, T. (2002). Seamless service Handoff for ubiquitous mobile multimedia. In IEEE Pacific Rim conference on multimedia (pp. 9–16).Google Scholar
  3. 3.
    Hasswa, A., Nasser, N., & Hassanein, H. (2005). Generic vertical handoff decision function for heterogeneous wireless. In Proceedings of the second IFIP international conference on wireless and optical communications networks (WOCN 2005) (pp. 239–243).Google Scholar
  4. 4.
    Onel T., Ersoy C., Cayirci E., Par G. (2004) A multicriteria Handoff decision schema for the next generation tactical communications systems. The International Journal of Computer and Telecommunications Networking 46(5): 695–708Google Scholar
  5. 5.
    Ling, Y., Yi, B., & Zhu, Q. (2008). An improved vertical Handoff decision algorithm for heterogeneous wireless networks. In Wireless communications, networking and mobile computing, WiCOM ‘08 (pp. 1–3).Google Scholar
  6. 6.
    Guo, Q., Zhu, J., & Xu, X. (2005). An adaptive multi-criteria vertical Handoff decision algorithm for radio heterogeneous network, ICC 2005, IEEE international conference (pp. 2769–2773).Google Scholar
  7. 7.
    Stoyanova, M., & Mahonen, P. (2007). Algorithmic approaches for vertical Handoff in heterogeneous wireless environment. In Wireless communications and networking conference WCNC 2007 (pp. 3780–3785).Google Scholar
  8. 8.
    Nkansah-Gyekye, Y., & Agbinya, J. I. (2008). A vertical Handoff decision algorithm for next generation wireless networks. In Third international conference on broadband communications, information technology & biomedical applications (pp. 358–364).Google Scholar
  9. 9.
    Alkhawlani M., Ayesh A. (2008) Access network selection based on fuzzy logic and genetic algorithms. Advances in Artificial Intelligence 8(1): 1–12CrossRefGoogle Scholar
  10. 10.
    Singhrova, A., & Prakash, N. (2009). Adaptive vertical Handoff decision algorithm for wireless heterogeneous networks. In 11th IEEE international conference on high performance computing and communications (pp. 476–481).Google Scholar
  11. 11.
    Kwong, C. F., Lee, S. W., & Sim, M. L. (2008). Mobility management incorporating pattern recognition in the Handoff decision. In International conference on advanced computer control (pp. 737–741).Google Scholar
  12. 12.
    Wang X. L. (1994) Adaptive fuzzy systems and control. Prentice Hall, Englewood CliffsGoogle Scholar
  13. 13.
    Ceken, C., & Arslan, H. (2009). An adaptive fuzzy logic based vertical Handoff decision algorithm for wireless heterogeneous networks. In Wireless and microwave technology (WAMI) conference (WAMICON 2009) (pp. 1–9).Google Scholar
  14. 14.
    Goldberg D. E. (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, ReadingMATHGoogle Scholar
  15. 15.
    Sridevi, A., & Sumathi, V. (2009). Improved fault tolerant model for channel allocation in wireless communication. In IEEE INCACEC’09 (pp. 1–6).Google Scholar
  16. 16.
    Kaya M., Alhajj R. (2006) Utilizing genetic algorithms to optimize membership functions for fuzzy weighted association rules mining. Applied Intelligence 24(1): 7–15CrossRefGoogle Scholar
  17. 17.
    Dorleus, J., Holweck, R., Ren, Z., Li, H., Cui, H.-L., & Medina, J. (2007). Modeling and simulation of fading and pathloss in opnet for range communications. In Proceedings of the IEEE radio and wireless symposium(pp. 407–410). Long Beach, California, USA.Google Scholar
  18. 18.
    Tawil, R., Salazar, O., & Pujolle, G. (2008). Vertical Handoff decision scheme using MADM for wireless networks. In Wireless communications and networking conference IEEE (WCNC 2008) (pp. 2789–2792).Google Scholar
  19. 19.
    Calhan, A., & Ceken, C. (2010). An adaptive neuro-fuzzy based vertical Handoff decision algorithm for wireless heterogeneous networks. In The 21th personal, indoor and mobile radio conference. Istanbul, Turkey.Google Scholar

Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  1. 1.Technical Education Faculty, Electronics and Computer Education DepartmentUniversity of KocaeliKocaeliTurkey

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