A controller deployment scheme in 5G-IoT network based on SDN
Abstract 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...
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doaj-76f1cfe24d94443f9ef47af634a63d7f2020-12-06T12:32:15ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992020-12-012020111910.1186/s13638-020-01853-8A controller deployment scheme in 5G-IoT network based on SDNXin Cui0Xiaohui Gao1Yan Ma2Weihan Wang3School of Computer Science and Technology, Shandong University of TechnologySchool of Bioinformatics, Chongqing University of Posts and TelecommunicationsInstitute of Network Technology, Beijing University of Posts and TelecommunicationsSchool of Information and Mechanical Engineering, Shanghai Normal UniversityAbstract 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.https://doi.org/10.1186/s13638-020-01853-8Software-defined networkController placementOptimized DPC algorithmAverage communication latencyNetwork partition |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xin Cui Xiaohui Gao Yan Ma Weihan Wang |
spellingShingle |
Xin Cui Xiaohui Gao Yan Ma Weihan Wang A controller deployment scheme in 5G-IoT network based on SDN EURASIP Journal on Wireless Communications and Networking Software-defined network Controller placement Optimized DPC algorithm Average communication latency Network partition |
author_facet |
Xin Cui Xiaohui Gao Yan Ma Weihan Wang |
author_sort |
Xin Cui |
title |
A controller deployment scheme in 5G-IoT network based on SDN |
title_short |
A controller deployment scheme in 5G-IoT network based on SDN |
title_full |
A controller deployment scheme in 5G-IoT network based on SDN |
title_fullStr |
A controller deployment scheme in 5G-IoT network based on SDN |
title_full_unstemmed |
A controller deployment scheme in 5G-IoT network based on SDN |
title_sort |
controller deployment scheme in 5g-iot network based on sdn |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1499 |
publishDate |
2020-12-01 |
description |
Abstract 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. |
topic |
Software-defined network Controller placement Optimized DPC algorithm Average communication latency Network partition |
url |
https://doi.org/10.1186/s13638-020-01853-8 |
work_keys_str_mv |
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1724398745513099264 |