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Design of endurable networks in the presence of aging

机译:在老化的情况下设计可承受的网络

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摘要

Networks are designed to satisfy given objectives under specificrequirements. While the static connectivity of networks is normally analyzedand corresponding design principles for static robustness are proposed, thechallenge still remains of how to design endurable networks that maintain therequired level of connectivity during its whole lifespan, against componentaging. We introduce network endurance as a new concept to evaluate networksoverall performance during its whole lifespan, considering both networkconnectivity and network duration. We develop a framework for designing anendurable network by allocating the expected lifetimes of its components, givena limited budget. Based on percolation theory and simulation, we find that themaximal network endurance can be achieved with a quantitative balance betweennetwork duration and connectivity. For different endurance requirements, wefind that the optimal design can be separated into two categories: strongdependence of lifetime on node's degree leads to larger network lifetime, whileweak dependence generates stronger network connectivity. Our findings couldhelp network design, by providing a quantitative prediction of networkendurance based on network topology.
机译:网络旨在满足特定要求下的给定目标。虽然通常会分析网络的静态连通性并提出相应的静态鲁棒性设计原则,但仍然存在如何设计可持久网络以在组件的整个生命周期中保持所需连通性水平的挑战。我们将网络耐久性作为一种新概念引入,它可以在考虑网络连接性和网络持续时间的同时,评估网络在其整个生命周期内的总体性能。在预算有限的情况下,我们通过分配其组件的预期寿命来开发一个设计可持久网络的框架。基于渗流理论和仿真,我们发现网络持续时间和连通性之间的定量平衡可以实现最大的网络耐久性。对于不同的耐用性要求,我们认为最佳设计可以分为两类:寿命对节点程度的强烈依赖会导致更长的网络寿命,而对弱依赖的依赖会产生更强的网络连通性。我们的发现可以通过基于网络拓扑结构提供网络耐久性的定量预测来帮助网络设计。

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