Research on IPv6 mobility management mechanism based on SDN

Xiaorong Duan; Xin Ma; Tianyuan Wang; Yaning Meng; Liang Gu; Xixi Zhao; Chenni Dong; Xin Gong; Sheng Bi; Liguo Wang; Haichuan Sun

doi:10.1117/12.2604758

5 October 2021 Research on IPv6 mobility management mechanism based on SDN

Xiaorong Duan, Xin Ma, Tianyuan Wang, Yaning Meng, Liang Gu, Xixi Zhao, Chenni Dong, Xin Gong, Sheng Bi, Liguo Wang, Haichuan Sun

Author Affiliations +

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119111O (2021) https://doi.org/10.1117/12.2604758
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

The idea of SDN provides a new way to solve the problems faced by mobility management of network layer in traditional networks. However, the existing mobility management schemes in SDN still face problems such as large network overhead and prolonged switching time in the process of user mobility. In this paper, the mobility management mechanism of network layer supporting IPv6 in SDN is studied. Firstly, by analyzing and designing two key technologies of mobility awareness and mobility handover, and combining with the position prediction theory, an IPv6 mobility management mechanism supporting pre-handover in SDN is proposed. Secondly, according to the result of position prediction, this mechanism calculates and issues the switching path runoff table before the movement, which reduces the signaling overhead and switching delay of the mobile node in the process of movement. Finally, according to the performance evaluation and analysis method, the signaling cost and switching delay of OPMIPv6-C scheme which is also implemented based on SDN are compared.

Citation Download Citation

Xiaorong Duan, Xin Ma, Tianyuan Wang, Yaning Meng, Liang Gu, Xixi Zhao, Chenni Dong, Xin Gong, Sheng Bi, Liguo Wang, and Haichuan Sun "Research on IPv6 mobility management mechanism based on SDN", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119111O (5 October 2021); https://doi.org/10.1117/12.2604758

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