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Research on Planning of Complex Optical Cable Network Based on Improved Genetic Algorithm

机译:基于改进遗传算法的复杂光缆网络规划研究

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In this paper, based on the information transmission efficiency of optical cable network, the optical cable planning and bandwidth resource planning are carried out under the condition that the number of new optical cables and service processing have priority. The simulation results show that the information transmission efficiency of the network is improved, about 22%, whether it only considers the average shortest path length or its comprehensive consideration with clustering index. The bandwidth resource planning scheme not only reduces the redundancy rate of bandwidth, improves the service performance of the network, but also reasonably allocates the bandwidth of each kind of service, better transmits and processes the service, and reduces the service congestion. Therefore, according to the research of optical cable network in this paper, we can plan the optical cable network more deeply and provide better service for optical cable network.
机译:本文基于光缆网络的信息传输效率,在新光缆和服务处理的数量优先的情况下执行光缆规划和带宽资源规划。 仿真结果表明,网络的信息传输效率提高了大约22%,无论它只考虑与聚类索引的平均最短路径长度还是全面考虑。 带宽资源规划方案不仅可以降低带宽的冗余速率,提高了网络的服务性能,而且还合理地分配了每种服务的带宽,更好地发送和处理服务,并减少服务拥塞。 因此,根据本文的光缆网络的研究,我们可以更深入地规划光缆网络,为光缆网络提供更好的服务。

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