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Cross-layer design based ant colony optimization for routing and wavelength assignment in an optical satellite network

机译:基于跨层设计的蚁群优化,用于光学卫星网络中的路由和波长分配

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A cross-layer based ant colony optimization (ACO) for routing and wavelength assignment (RWA) algorithm (CL-ACORWA) in an optical satellite network is proposed. The main objective is to enhance the network robustness. At first, a cross-layer optimization model is designed, which considers the Doppler wavelength shift of the physical layer and the transmission delay of the network layer. Then an ant colony optimization algorithm is utilized to search a path with the minimal transmission delay. Finally, the simulation result shows that CL-ACORWA has good performance in communication success probability. Compared with the minimum delay based ACO for RWA algorithm (MD-ACORWA), the communication success probability of CL-ACORWA can increase by 37% at most.
机译:提出了一种基于跨层的蚁群算法(ACO),用于光学卫星网络中的路由和波长分配(RWA)算法(CL-ACORWA)。主要目的是增强网络的鲁棒性。首先,设计了一个跨层优化模型,该模型考虑了物理层的多普勒波长偏移和网络层的传输延迟。然后,利用蚁群优化算法搜索传输延迟最小的路径。最后,仿真结果表明,CL-ACORWA在通信成功概率上具有良好的性能。与基于最小延迟的RWA算法ACO(MD-ACORWA)相比,CL-ACORWA的通信成功率最多可提高37%。

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