Routing optimization strategy for power SDN communication network based on NSGA-II

Dengyu Hong; Bing Qi; Xiaohui Yue

doi:10.1117/12.3032519

12 July 2024 Routing optimization strategy for power SDN communication network based on NSGA-II

Dengyu Hong, Bing Qi, Xiaohui Yue

Proceedings Volume 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) ; 131850F (2024) https://doi.org/10.1117/12.3032519
Event: International Conference on Communication, Information and Digital Technologies, 2024, Wuhan, China

Abstract

Aiming at the problems of uneven link load distribution and energy waste in power communication networks, this paper proposes a multi-objective genetic algorithm-based routing optimization strategy for power communication networks considering software-defined networks. The standard deviation of the remaining bandwidth of the whole network and the number of newly activated links, as quantitative indicators, are used to realize the dynamic allocation of power communication network resources. Simulation results show that the NSGA-II multi-objective genetic algorithm selected in this paper has better optimization effect than the shortest path Dijkstra algorithm, and this strategy can meet the increasing demand of service carrying capacity and make the link load distribution more uniform.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dengyu Hong, Bing Qi, and Xiaohui Yue "Routing optimization strategy for power SDN communication network based on NSGA-II", Proc. SPIE 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) , 131850F (12 July 2024); https://doi.org/10.1117/12.3032519

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