QoS in Vertical Handoff for Wireless Network Using Hungarian Model and Data Parceling Technique

  • G. U. MaliEmail author
  • D. K. Gautam
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1162)


In a heterogeneous wireless network, the server–client architecture plays a vital role. As the clients request the data from the servers, they analyze the requests and stream the data to the clients through a specified protocol of the instance network. When a movable node in the wireless network leaves the mother pool and enters the other pool, then data losing is a scenario that will occur for sure. The vertical handoff technique offers a solution for this to maintain the lossless network changing paradigm for the movable nodes in the heterogeneous network. Some vertical handoff techniques take much longer time to complete the handoff process, and this enables the system to stream the data through the buffer system present in the instance network or from another network. This not only slows down the whole process of vertical handoff, but also sometimes data loss is happening due to vertical handoff. To deal with this kind of poor quality of service during the vertical handoff, this research paper uses the data parceling technique. Streaming data from the server to the moving node in the network is divided into many parts, and then, they are loaded to ongoing threads handling the vertical handoff. The data allocation process of the system is powered with the Hungarian data assessment technique to perform the lossless vertical handoff successfully.


Data parceling Hungarian assessment model Vertical handoff Wireless network 


  1. 1.
    Chen, J., Wang, Y., Li, Y., Wang, E.: QoE-aware intelligent vertical handoff scheme over heterogeneous wireless access networks. IEEE Access (2017).
  2. 2.
    Cai, J.: A time-threshold-based emergency pre-emption scheme for vertical handoff in Cellular/WLAN interworking. In: 8th IEEE International Conference on Software Engineering and Service Science (2017)Google Scholar
  3. 3.
    Kulkarni, S., Singh, P.: Enhancement of handover decision in heterogeneous networks. In: International Conference on Signal Processing and Communication (2017)Google Scholar
  4. 4.
    Zineb, A., Ayadi, M., Tabbane, S.: QoE-based vertical handover decision management for cognitive networks using ANN. In: Sixth International Conference on Communications and Networking (ComNet) (2017)Google Scholar
  5. 5.
    Lahby, M., Sekkaki, A.: Optimal vertical handover based on TOPSIS algorithm and utility function in heterogeneous wireless networks. In: International Symposium on Networks, Computers, and Communications (2017)Google Scholar
  6. 6.
    Chopra, S., Notarstefano, G., Rice, M., Egerstedt, M.: Distributed version of the hungarian method for a multirobot assignment. IEEE Trans. Robot. 33(4), 932–947 (2017)CrossRefGoogle Scholar
  7. 7.
    Cao, B., Wang. J., Fan, J., Yin, J., Dong, T.: Querying similar process models based on the Hungarian algorithm. IEEE Trans. Serv Comput. 14(8) (2015)Google Scholar
  8. 8.
    Xie, J., Xiang, C., Ma, J., Tan, J., Wen, T., Lei, J., Nie, Q.: An adaptive hybrid algorithm for global network alignment. IEEE/ACM Trans. Comput. Biol. Bioinform. 13(3), 483–493 (2016)CrossRefGoogle Scholar
  9. 9.
    Mali, G., Gautam, D.: Avalanche effect based vertical handoff system for wireless communication. In: ICCASP (2018)Google Scholar
  10. 10.
    Shen, H., Li, Z., Qiu, C.: A distributed three-hop routing protocol to increase the capacity of hybrid wireless networks, pp. 1536–1233 (c). IEEE (2015)Google Scholar
  11. 11.
    Biaz, S., Qi, B., Ji, Y.: Improving expected transmission time metric in multi-rate multi-hop networks. In: 2008 5th IEEE Consumer Communications and Networking Conference (IEEE CCNC), Las Vegas, NV, pp. 533–537 (2008)Google Scholar

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© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Department of Electronics Engineering and TechnologyNorth Maharashtra University JalgaonJalgaonIndia

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