Thermodynamics-Based Entropy Adjustment for Robust Self-Organized Network Controls
Thermodynamics-Based Entropy Adjustment for Robust Self-Organized Network Controls
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DOI：
10.1109/compsac.2014.48
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
Takuya Iwai;D. Kominami;M. Murata;T. Yomo
中科院分区：
文献类型：
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作者：
Takuya Iwai;D. Kominami;M. Murata;T. Yomo
作为未来信息网络的关键技术，自组织网络控制已成为众多研究人员关注的焦点。在对它们进行排序的过程中，它们对环境变化的稳健性降低，而性能提高。因此，他们在动态环境中的行为应该保留适量的无序性。在本文中，我们进行了仿真实验，结果表明，较高的熵可以提高对节点故障的健壮性。
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.