| 基于改进聚类算法的电力通信网可靠性优化算法 |
投稿时间：2019-10-31 修订日期：2019-11-07  点此下载全文 |
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| 中文摘要:随着电力通信网规模的逐渐扩大,已有电力通信网可靠性优化算法的计算时间复杂度较高。为解决此问题,本文提出了基于改进聚类算法的电力通信网可靠性优化算法。该算法首先采用模拟退火算法与遗传算法结合的FCM算法将大规模网络划分为多个社团,其次,通过社团间可靠性分析与备份方法、社团内可靠性分析与备份方法两个过程,对电力通信网的关键资源进行识别和备份,从而提升了电力通信网的可靠性。在仿真实验部分,从备份资源数量在总资源中的占比、网络连通度两个方面,将本文算法与已有算法进行比较,验证了本文算法有效提升了电力通信网的可靠性。 |
| 中文关键词:电力通信网，可靠性，聚类，社团，SDN |
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| Reliability Optimization Algorithm for Power Communication Network Based on Improved Clustering Algorithm |
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| Abstract:With the gradual expansion of the scale of power communication networks, the time complexity of existing power communication network reliability optimization algorithms is relatively high. In order to solve this problem, this paper proposes a reliability optimization algorithm for power communication network based on improved clustering algorithm. The algorithm firstly uses the FCM algorithm combined with simulated annealing algorithm and genetic algorithm to divide large-scale network into multiple communities. Secondly, through the two processes of reliability analysis and backup method, intra-community reliability analysis and backup method, the key resources of the communication network are identified and backed up, thereby improving the reliability of the power communication network. In the simulation experiment, the algorithm is compared with the existing algorithms from the aspects of the proportion of backup resources in total resources and network connectivity. It is verified that the proposed algorithm effectively improves the reliability of the power communication network. |
| keywords:power communication network, reliability, clustering, community,SDN |
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