Abstract
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.
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References
Chen, J., Wang, Y., Li, Y., Wang, E.: QoE-aware intelligent vertical handoff scheme over heterogeneous wireless access networks. IEEE Access (2017). https://doi.org/10.1109/access.2018.2853730
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)
Kulkarni, S., Singh, P.: Enhancement of handover decision in heterogeneous networks. In: International Conference on Signal Processing and Communication (2017)
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)
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)
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)
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)
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)
Mali, G., Gautam, D.: Avalanche effect based vertical handoff system for wireless communication. In: ICCASP (2018)
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)
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)
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Mali, G.U., Gautam, D.K. (2021). QoS in Vertical Handoff for Wireless Network Using Hungarian Model and Data Parceling Technique. In: Deshpande, P., Abraham, A., Iyer, B., Ma, K. (eds) Next Generation Information Processing System. Advances in Intelligent Systems and Computing, vol 1162 . Springer, Singapore. https://doi.org/10.1007/978-981-15-4851-2_5
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DOI: https://doi.org/10.1007/978-981-15-4851-2_5
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