A Speed-Adjusted Vertical Handover Algorithm Based on Fuzzy Logic

  • Dongdong YaoEmail author
  • Xin Su
  • Bei Liu
  • Jie Zeng
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 258)


The development of wireless communication technology promotes the inevitability of network integration. In order to solve the problems in the process of heterogeneous wireless networks handover, this paper proposes a speed-adjusted vertical handover algorithm based on fuzzy logic. The algorithm periodically acquires motion information of the terminal in the heterogeneous network environment. By using a threshold function based on the simple weighting method and adjusting the threshold value in combination with the speed, the information that is not suitable for handover will be filtered out. Then, the received signal strength (RSS), network available bandwidth, and battery power are normalized and put into a fuzzy logic controller to obtain a comprehensive network performance value (NCPV). Finally, the handover decision is performed according to NCPV. The simulation results show that this algorithm can reduce unnecessary handover with the increase of speed and suppress the generation of ping-pong effect, compared with the traditional algorithm. In addition, this algorithm also considers factors such as network delay, service cost, etc. Those improve the quality of service (QoS) and user satisfaction.


Vertical handover Speed-adjusted Fuzzy logic 


  1. 1.
    Chen, W.-T., Liu, J.-C., Huang, H.-K.: An adaptive scheme for vertical handoff in wireless overlay networks. In: Proceedings of Tenth International Conference on Parallel and Distributed Systems 2004, pp. 541–548. IEEE Press, CA (2004).
  2. 2.
    Feng, D., Yajie, M., Fengxing, Z., Shaowu, L.: A multi-attribute vertical handover algorithm based on adaptive weight in heterogeneous wireless network. In: 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 184–188. IEEE Press, Guangdong (2014).
  3. 3.
    Liu, M., Li, Z.C., Guo, X.B., Dutkiewicz, E., Wang, M.H.: WLC14-4: SAVA: a novel self-adaptive vertical handoff algorithm for heterogeneous wireless networks. In: IEEE Globecom 2006, pp. 1–5. IEEE Press, San Francisco (2006).
  4. 4.
    Tao, Y., Peng, R.: A fuzzy logic vertical handoff algorithm with motion trend decision. In: Proceedings of 2011 6th International Forum on Strategic Technology, pp. 1280–1283. IEEE Press, Harbin (2011).
  5. 5.
    Shanmugam, K.: A novel candidate network selection based handover management with fuzzy logic in heterogeneous wireless networks. In: 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 1–6. IEEE Press, Coimbatore (2017).
  6. 6.
    Shen, W., Zeng, Q.A.: Cost-function-based network selection strategy in integrated wireless and mobile networks. IEEE Trans. Veh. Technol. 57(6), 3778–3788 (2008)CrossRefGoogle Scholar
  7. 7.
    Lee, E., Choi, C., Kim, P.: Intelligent handover scheme for drone using fuzzy inference systems. IEEE Access 5, 13712–13719 (2017)CrossRefGoogle Scholar
  8. 8.
    Chen, X., Chen, C., He, J., Guan, X.: Intuitionistic fuzzy handover mechanism for heterogeneous vehicular networks. In: 2017 IEEE/CIC International Conference on Communications in China (ICCC), pp. 1–6. IEEE Press, Qingdao (2017).
  9. 9.
    Zeng, J., Su, X., Gong, J., Rong, L., Wang, J.: 5G virtualized radio access network approach based on NO stack framework. In: IEEE International Conference on Communications 2017, pp. 1–5. IEEE Press, Paris (2017).

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Chongqing University of Posts and TelecommunicationsChongqingChina
  2. 2.Beijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijingChina

Personalised recommendations