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Coloring unstructured radio networks

机译:为非结构化无线电网络着色

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During and immediately after their deployment, ad hoc and sensor networks lack an efficient communication scheme rendering even the most basic network coordination problems difficult. Before any reasonable communication can take place, nodes must come up with an initial structure that can serve as a foundation for more sophisticated algorithms. In this paper, we consider the problem of obtaining a vertex coloring as such an initial structure. We propose an algorithm that works in the unstructured radio network model. This model captures the characteristics of newly deployed ad hoc and sensor networks, i.e. asynchronous wake-up, no collision-detection, and scarce knowledge about the network topology. When modeling the network as a graph with bounded independence, our algorithm produces a correct coloring with O(△) colors in time O (△ log n) with high probability, where n and A are the number of nodes in the network and the maximum degree, respectively. Also, the number of locally used colors depends only on the local node density. Graphs with bounded independence generalize unit disk graphs as well as many other well-known models for wireless multi-hop networks. They allow us to capture aspects such as obstacles, fading, or irregular signal-propagation.
机译:自组织网络和传感器网络在部署期间和部署之后立即缺乏有效的通信方案,这甚至使最基本的网络协调问题也变得困难。在进行任何合理的通信之前,节点必须提出一个初始结构,该结构可以作为更复杂算法的基础。在本文中,我们考虑将顶点着色作为初始结构的问题。我们提出了一种在非结构化无线电网络模型中有效的算法。该模型捕获了新部署的ad hoc和传感器网络的特征,即异步唤醒,无冲突检测以及对网络拓扑的了解不足。当将网络建模为具有有界独立性的图时,我们的算法会以高概率在时间O(△log n)中以O(△)颜色生成正确的着色,其中n和A是网络中的节点数,最大值学位。同样,本地使用的颜色数仅取决于本地节点密度。具有有限独立性的图可概括单元磁盘图以及无线多跳网络的许多其他知名模型。它们使我们能够捕获障碍物,衰落或不规则信号传播等方面。

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