A controller deployment scheme in 5G-IoT network based on SDN

被引:0
作者
Xin Cui
Xiaohui Gao
Yan Ma
Weihan Wang
机构
[1] Shandong University of Technology,School of Computer Science and Technology
[2] Beijing University of Posts and Telecommunications,Institute of Network Technology
[3] Chongqing University of Posts and Telecommunications,School of Bioinformatics
[4] Shanghai Normal University,School of Information and Mechanical Engineering
来源
EURASIP Journal on Wireless Communications and Networking | / 2020卷
关键词
Software-defined network; Controller placement; Optimized DPC algorithm; Average communication latency; Network partition;
D O I
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中图分类号
学科分类号
摘要
Due to the wide spread of 5G networks, network users have higher requirements for communication delays. Software-defined network is a new paradigm of decoupling the control logic from packet forwarding devices. We can reduce communication latency in the network by optimizing the location of the controller and improve the communication performance of the network. In this paper, the controller deployment problem of multi-network area is studied in order to reduce the average communication latency. In order to solve this problem, we proposed an optimized DPC algorithm. Specifically, on the basis of DPC algorithm we quoted the idea of triangular stability from the BeeDPC algorithm, and introduced SC measurement indicators, the degree of separation between sub-network regions and the degree of aggregation within the sub-network region, so as to divide the network region more reasonably. At the same time, we have break out of the constraints in the DPC algorithm and introduced closeness centrality to get a more reasonable placement scheme and reduced the limitations of the DPC algorithm. Simulation results have shown that the optimized DPC algorithm can effectively reduce the average delay between the control layer and the data layer, improve the network performance, and enhance network stability and reliability.
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