共查询到18条相似文献,搜索用时 62 毫秒
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随着数据业务的不断增长,各种城域多业务传送技术应运而生,如基于SDH的MSTP、弹性分组环(RPR)、城域WDM和光以太网技术等;而分组化的多业务平台具有成本低、效率高和可扩展性强等优势,并有效地解决了对基于MSR(Multiple Service Ring)技术的TDM业务的承载, 相似文献
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提出了一种基于遗传算法的静态资源优化利用路由算法,该算法在考虑网络资源消耗的基础上,以网络负载平衡为优化目标,从而达到合理利用网络资源,增强网络生存性的目的。最后给出了仿真实验结果,并对结果进行了分析。 相似文献
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随着电信业务的发展和网络规模的扩大,曾仅仅作为语音业务的SDH中继传输网络已成为电信运营商重要的综合业务传送网络之一。虽然相对其他传送技术而言,SDH技术存在着一些缺陷,但在现实中,无论是传统电信企业,还是新兴电信运营商和无线运营商都不约而同地建设了自己的SDH传送网络或基于SDH技术与DWDM/DXC技术结合的集成型网络。且建设规模不断扩大。 相似文献
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Dynamic restoration algorithms which support real-time and multi-services recovery are significant for the survivability of
WDM (wavelength division multiplexed) networks. In this article, an intelligent dynamic restoration algorithm for multi-services
in WDM networks based on the partheno genetic algorithm is proposed. In these networks, partial wavelength conversion is used.
The algorithm is implemented within an interconnected multilayer-graph model and two kinds of optical networks matrix models.
Compared with the basic restoration scheme, the proposed algorithm can make use of available network state information and
can restore the affected multi-services fast and parallel. Simulation showed that the proposed algorithm can improve the restoration
efficiency under high loads and reduce the service disruption ratio on the basis of fully utilizing resources of the network.
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Na ZhuEmail: |
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In a wavelength division multiplexing (WDM) network, sub-wavelength traffic streams can be elaborately arranged in wavelength channels to minimize the number of required electronic end systems, known as the traffic grooming problem. In this paper, a modified genetic algorithm without crossover operation is proposed to solve the problem using a permutation-based chromosome representation and using a selection strategy of reproducing the best chromosomes, thereby minimizing the number of electronic devices and requiring less wavelengths. Then, three methods are developed to improve the performance of the algorithm and a hill-climbing algorithm is proposed for the same purpose. Computer simulations were performed with plenty of randomly generated traffic patterns in unidirectional rings. The results show that these methods can improve the algorithm considerably. The relationships between the minimized network cost and the number of nodes are also presented. 相似文献
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Ali Peiravi Habib Rajabi Mashhadi S. Hamed Javadi 《International Journal of Communication Systems》2013,26(1):114-126
In this study, an optimal method of clustering homogeneous wireless sensor networks using a multi‐objective two‐nested genetic algorithm is presented. The top level algorithm is a multi‐objective genetic algorithm (GA) whose goal is to obtain clustering schemes in which the network lifetime is optimized for different delay values. The low level GA is used in each cluster in order to get the most efficient topology for data transmission from sensor nodes to the cluster head. The presented clustering method is not restrictive, whereas existing intelligent clustering methods impose certain conditions such as performing two‐tiered clustering. A random deployed model is used to demonstrate the efficiency of the proposed algorithm. In addition, a comparison is made between the presented algorithm other GA‐based clustering methods and the Low Energy Adaptive Clustering Hierarchy protocol. The results obtained indicate that using the proposed method, the network's lifetime would be extended much more than it would be when using the other methods. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献