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Thermodynamics-Based Entropy Adjustment for Robust Self-Organized Network Controls

机译:基于热力学的熵调整用于鲁棒的自组织网络控制

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摘要

As key technologies for future information networks, many researchers have focused on self-organized network controls. In the process of their ordering, their robustness against environmental changes decreases while their performance increases. Therefore, their behavior in dynamic environment should retain appropriate amount of disorder. In this paper, we conduct simulation experiments and show that higher entropy leads to higher robustness against node failures.
机译:作为未来信息网络的关键技术,许多研究人员已将重点放在自组织网络控制上。在订购过程中,它们对环境变化的抵抗力会下降,而性能会提高。因此,它们在动态环境中的行为应保留适当数量的无序。在本文中,我们进行了仿真实验,结果表明,较高的熵会导致针对节点故障的较高的鲁棒性。

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