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• W2035820333 abstract "We present a mechanism to avoid congestion in complex networks based on a local knowledge of traffic conditions and the ability of routers to self-coordinate their dynamical behavior. In particular, routers make use of local information about traffic conditions to either reject or accept information packets from their neighbors. We show that when nodes are only aware of their own congestion state they self-organize into a hierarchical configuration that delays remarkably the onset of congestion although leading to a sharp first-order-like congestion transition. We also consider the case when nodes are aware of the congestion state of their neighbors. In this case, we show that empathy between nodes is strongly beneficial to the overall performance of the system and it is possible to achieve larger values for the critical load together with a smooth, second-order-like, transition. Finally, we show how local empathy minimize the impact of congestion as much as global minimization. Therefore, here we present an outstanding example of how local dynamical rules can optimize the system's functioning up to the levels reached using global knowledge." @default.
• W2035820333 created "2016-06-24" @default.
• W2035820333 creator A5013813259 @default.
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• W2035820333 date "2010-11-05" @default.
• W2035820333 modified "2023-10-14" @default.
• W2035820333 title "Local empathy provides global minimization of congestion in communication networks" @default.
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• W2035820333 doi "https://doi.org/10.1103/physreve.82.056105" @default.
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