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Self-management of Routing on Human Proximity Networks

机译:人力接近网络路由的自我管理

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Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic processes are a challenge to traditional information dissemination techniques, as the appropriate strategy changes according to the changes in topology. We show how network dynamics can be exploited to design a self-organising data dissemination mechanism using only node-level (local) information, which detects and adapts to periodic patterns in the network topology. We demonstrate our approach against real-world human-proximity networks.
机译:许多现代网络应用程序包括传感器网络和船只,具有动态拓扑,反映外界发生的过程。这些动态流程对传统信息传播技术是一个挑战,因为适当的策略根据拓扑的变化而变化。我们展示了如何利用网络动态来设计自组织数据传播机制,仅使用节点级(本地)信息,该信息检测并适应网络拓扑中的周期性模式。我们展示了我们对现实世界的邻近网络的方法。

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