Application and Optimization of Software-Defined Networking in Communication Engineering

DOI

10.2991/978-94-6463-578-2_23How to use a DOI?

Keywords

Software-defined networking; Communication engineering; Apply; Optimize

Abstract

In the era of rapid development of information technology, communication engineering is constantly confronted with numerous challenges and abundant opportunities. Software-defined networking (SDN), as an emerging network architecture, presents innovative solutions for communication engineering. This article conducts an in-depth exploration into the application and optimization of SDN in communication engineering. Firstly, it introduces the basic concepts and architecture of SDN, thoroughly analyzing its significant advantages in the field of communication engineering. Subsequently, it elaborates on the application of SDN in traffic management, network virtualization, and quality of service assurance. Moreover, it discusses the optimization strategy of SDN from multiple perspectives such as controller performance optimization, routing algorithm improvement, and security mechanism enhancement. Through practical case analysis, the effectiveness and superiority of SDN in communication engineering are verified. Finally, it looks forward to the future development trend of SDN in communication engineering, envisioning its broader application prospects and potential for innovation.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Feiran Gu
PY  - 2024
DA  - 2024/12/01
TI  - Application and Optimization of Software-Defined Networking in Communication Engineering
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)
PB  - Atlantis Press
SP  - 221
EP  - 227
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-578-2_23
DO  - 10.2991/978-94-6463-578-2_23
ID  - Gu2024
ER  -