Analysis on the Weight with Traffic Type for the Vertical Handover of Heterogeneous Wireless Networks

  • Xiaobin Li
  • Li LiuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)


Since the weight will play a significant role on the performance of an algorithm of vertical handover of heterogeneous wireless networks, and there lacks the sufficient analysis, the selection of weight for different traffic type is addressed in this paper. The method of analytic hierarchy process (AHP) is adopted to obtain the weight, and the network selection is carried out by combining cost function, technique for order preference by similarity to an ideal solution (TOPSIS) and grey relational analysis (GRA). Four QoS decision attributes of delay, jitter, packet loss rate and bandwidth are considered on network selection. The scores of different networks are simulated for different traffic type under AHP weighting method. Simulation results show that the weight should vary with requirement of QoS for different traffic.


Vertical handover Cost function Technique for order preference by similarity to an ideal solution (TOPSIS) Grey relational analysis (GRA) 



This work is supported by Science and Technology Project of Shenzhen, China (Grant No. JCYJ20180305124255145), the authors thank to the organization.


  1. 1.
    Anning, A.: Analysis of vertical handover decision technology for heterogeneous wireless networks. Journal 19(4), 8–9, 12 (2017)Google Scholar
  2. 2.
    Yang, T., Jin, H.: Research on vertical handover mechanism in heterogeneous fusion networks. Journal 10(4), 504–515 (2016)Google Scholar
  3. 3.
    Gavali Vikram, S., Patil, J.K.: A study of RSS based vertical handover decision algorithms. Journal 2(2), 0181–2278 (2015)Google Scholar
  4. 4.
    Bing, L., Hao, L.: Traditional vertical handover mechanism based on cost function. Journal 18(13), 157 (2016)Google Scholar
  5. 5.
    Ren, Y., Zhao, J., Qubi: Vertical handover decision algorithm based on multi-terminal cooperation of fuzzy logic. Journal 35(9), 67–78 (2014)Google Scholar
  6. 6.
    Chandavarkar, B.R., Guddeti, R.M.R.: Simplified and improved multiple attributes alternate ranking method for vertical handover decision in heterogeneous wireless networks. Journal 83, 81–97 (2016)Google Scholar
  7. 7.
    Singh, N.P., Singh, B.: Vertical handoff decision in 4G wireless networks using multi attribute decision making approach. Journal 20(5), 1203–1211 (2014)Google Scholar
  8. 8.
    Yu, H.W., Zhang, B.: A heterogeneous network selection algorithm based on network attribute and user preference. Journal 72, 68–80 (2018)Google Scholar
  9. 9.
    Skondras, E., Sgora, A., Michalas, A., et al.: An analytic network process and trapezoidal interval-valued fuzzy technique for order preference by similarity to ideal solution network access selection method. Journal 29(2), 307–329 (2016)Google Scholar
  10. 10.
    Almutairi, A.F., Landolsi, M.A., Al-Hawaj, A.O.: Weighting selection in GRA-based MADM for vertical handover in wireless networks. In: IEEE 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim), Cambridge, pp. 331–336 (2016)Google Scholar
  11. 11.
    Narwal, B., Mohapatra, A.K.: Performance analysis of QoS parameters during vertical handover process between Wi-Fi and WiMAX networks. In: International Conference on Recent Developments in Science. Springer, Singapore (2017)Google Scholar
  12. 12.
    Zalghout, M., et al.: Context-aware network selection algorithm for heterogeneous wireless networks. In: Sensors Networks Smart & Emerging Technologies. IEEE (2017)Google Scholar
  13. 13.
    Mansouri, M., Leghris, C., Bekkhoucha, A.: Towards a better combination of the MADM algorithms for the Vertical Handover optimization in a mobile network multi-access environment. In: International Conference on Intelligent Systems: Theories & Applications. IEEE (2015)Google Scholar
  14. 14.
    Goyal, T., Kaushal, S.: Optimized network selection during handover using analytic hierarchy process in 4G network. In: International Conference on Advances in Computing. IEEE (2016)Google Scholar
  15. 15.
    Zhe, C.: Research on vertical handoff algorithms for heterogeneous wireless networks in multi-service environment (2016)Google Scholar
  16. 16.
    Ma, D.: Research on the Improvement of Vertical Handoff Algorithms in UMTS-WLAN Heterogeneous Network Fusion (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Electron and Information EngineeringShenzhen UniversityShenzhenChina

Personalised recommendations